{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/Uschi/Dropbox/Projects/Mutinies/PKO and Mutiny paper/Data/Prelim data/Paper/FPA/Revision files/Revision 2/Replication data/SPD_replicationlog.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}15 Oct 2019, 14:30:38

{com}. do "/var/folders/8t/b7lqqzbs25b8f8c_5g60w6180000gn/T//SD19905.000000"
{txt}
{com}. use "SPD_countryyear.dta", clear
{txt}
{com}. tsset cowcode year
{res}{txt}{col 8}panel variable:  {res}cowcode (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1960 to 2011
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. *TABLE 1*
. *Model 1, all PK contributions*
. logit mutinydum l.allPKO   l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive l.coupattdum  mutinypy  i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-206.13192}  
Iteration 1:{space 3}log pseudolikelihood = {res:-180.85214}  
Iteration 2:{space 3}log pseudolikelihood = {res: -170.6039}  
Iteration 3:{space 3}log pseudolikelihood = {res:-170.26042}  
Iteration 4:{space 3}log pseudolikelihood = {res:-170.26015}  
Iteration 5:{space 3}log pseudolikelihood = {res:-170.26015}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       744
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}   1588.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-170.26015{txt}{col 49}Pseudo R2{col 67}= {res}    0.1740

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}allPKO {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0002491{col 34}{space 2} .0000688{col 45}{space 1}    3.62{col 54}{space 3}0.000{col 62}{space 4} .0001142{col 75}{space 3}  .000384
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .048063{col 34}{space 2}  .027437{col 45}{space 1}    1.75{col 54}{space 3}0.080{col 62}{space 4}-.0057125{col 75}{space 3} .1018385
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .7663502{col 34}{space 2} .2843184{col 45}{space 1}    2.70{col 54}{space 3}0.007{col 62}{space 4} .2090963{col 75}{space 3} 1.323604
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0046344{col 34}{space 2} .0409285{col 45}{space 1}   -0.11{col 54}{space 3}0.910{col 62}{space 4}-.0848528{col 75}{space 3}  .075584
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0024675{col 34}{space 2} .0149346{col 45}{space 1}   -0.17{col 54}{space 3}0.869{col 62}{space 4}-.0317388{col 75}{space 3} .0268037
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0294032{col 34}{space 2}  .149939{col 45}{space 1}   -0.20{col 54}{space 3}0.845{col 62}{space 4}-.3232781{col 75}{space 3} .2644718
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.6281713{col 34}{space 2}  .304402{col 45}{space 1}   -2.06{col 54}{space 3}0.039{col 62}{space 4}-1.224788{col 75}{space 3}-.0315543
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2} .0000837{col 34}{space 2} .0000377{col 45}{space 1}    2.22{col 54}{space 3}0.026{col 62}{space 4} 9.80e-06{col 75}{space 3} .0001577
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .7397493{col 34}{space 2} .7643363{col 45}{space 1}    0.97{col 54}{space 3}0.333{col 62}{space 4}-.7583223{col 75}{space 3} 2.237821
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2} -.118529{col 34}{space 2}  .039123{col 45}{space 1}   -3.03{col 54}{space 3}0.002{col 62}{space 4}-.1952086{col 75}{space 3}-.0418494
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.760877{col 34}{space 2} 1.049762{col 45}{space 1}    1.68{col 54}{space 3}0.093{col 62}{space 4}-.2966197{col 75}{space 3} 3.818373
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 2.040326{col 34}{space 2} 1.279848{col 45}{space 1}    1.59{col 54}{space 3}0.111{col 62}{space 4}-.4681306{col 75}{space 3} 4.548782
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} 1.469415{col 34}{space 2} 1.262172{col 45}{space 1}    1.16{col 54}{space 3}0.244{col 62}{space 4}-1.004395{col 75}{space 3} 3.943226
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} 1.438644{col 34}{space 2} 1.312118{col 45}{space 1}    1.10{col 54}{space 3}0.273{col 62}{space 4} -1.13306{col 75}{space 3} 4.010349
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.117448{col 34}{space 2} 1.423653{col 45}{space 1}    0.78{col 54}{space 3}0.433{col 62}{space 4} -1.67286{col 75}{space 3} 3.907757
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 2.066167{col 34}{space 2} 1.244398{col 45}{space 1}    1.66{col 54}{space 3}0.097{col 62}{space 4}-.3728083{col 75}{space 3} 4.505143
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.808527{col 34}{space 2} 1.330415{col 45}{space 1}    1.36{col 54}{space 3}0.174{col 62}{space 4} -.799039{col 75}{space 3} 4.416093
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.599574{col 34}{space 2} 1.320751{col 45}{space 1}    1.97{col 54}{space 3}0.049{col 62}{space 4} .0109497{col 75}{space 3} 5.188198
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.797795{col 34}{space 2} 1.346458{col 45}{space 1}    1.34{col 54}{space 3}0.182{col 62}{space 4}-.8412136{col 75}{space 3} 4.436805
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} 1.331388{col 34}{space 2} 1.405321{col 45}{space 1}    0.95{col 54}{space 3}0.343{col 62}{space 4} -1.42299{col 75}{space 3} 4.085766
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} .5795872{col 34}{space 2} 1.656411{col 45}{space 1}    0.35{col 54}{space 3}0.726{col 62}{space 4}-2.666919{col 75}{space 3} 3.826093
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .8602141{col 34}{space 2} 1.642423{col 45}{space 1}    0.52{col 54}{space 3}0.600{col 62}{space 4}-2.358876{col 75}{space 3} 4.079304
{txt}{space 15}2004  {c |}{col 22}{res}{space 2}  1.98648{col 34}{space 2} 1.413808{col 45}{space 1}    1.41{col 54}{space 3}0.160{col 62}{space 4}-.7845331{col 75}{space 3} 4.757492
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.846207{col 34}{space 2} 1.397211{col 45}{space 1}    1.32{col 54}{space 3}0.186{col 62}{space 4}-.8922762{col 75}{space 3} 4.584691
{txt}{space 15}2006  {c |}{col 22}{res}{space 2}  2.06329{col 34}{space 2} 1.407834{col 45}{space 1}    1.47{col 54}{space 3}0.143{col 62}{space 4}-.6960134{col 75}{space 3} 4.822594
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 2.470768{col 34}{space 2} 1.370055{col 45}{space 1}    1.80{col 54}{space 3}0.071{col 62}{space 4}-.2144914{col 75}{space 3} 5.156027
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.877493{col 34}{space 2} 1.372891{col 45}{space 1}    1.37{col 54}{space 3}0.171{col 62}{space 4}-.8133235{col 75}{space 3} 4.568309
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 2.379751{col 34}{space 2} 1.442087{col 45}{space 1}    1.65{col 54}{space 3}0.099{col 62}{space 4}-.4466882{col 75}{space 3} 5.206191
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .7117588{col 34}{space 2} 1.636877{col 45}{space 1}    0.43{col 54}{space 3}0.664{col 62}{space 4}-2.496461{col 75}{space 3} 3.919979
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.663992{col 34}{space 2} 1.533237{col 45}{space 1}    1.09{col 54}{space 3}0.278{col 62}{space 4}-1.341098{col 75}{space 3} 4.669082
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.9413295{col 34}{space 2} 2.841722{col 45}{space 1}   -0.33{col 54}{space 3}0.740{col 62}{space 4}-6.511002{col 75}{space 3} 4.628343
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store m1
{txt}
{com}. *Model 2, distinguish UNPK and non-UN PK contributions*
. logit mutinydum l.troops l.nonUN l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive l.coupattdum  mutinypy i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-206.13192}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181.46064}  
Iteration 2:{space 3}log pseudolikelihood = {res:-170.64405}  
Iteration 3:{space 3}log pseudolikelihood = {res:-169.95414}  
Iteration 4:{space 3}log pseudolikelihood = {res:-169.91713}  
Iteration 5:{space 3}log pseudolikelihood = {res:-169.91712}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       744
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}   2400.05
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-169.91712{txt}{col 49}Pseudo R2{col 67}= {res}    0.1757

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0000246{col 34}{space 2}   .00021{col 45}{space 1}    0.12{col 54}{space 3}0.907{col 62}{space 4} -.000387{col 75}{space 3} .0004361
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0002811{col 34}{space 2} .0000536{col 45}{space 1}    5.25{col 54}{space 3}0.000{col 62}{space 4} .0001761{col 75}{space 3} .0003861
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0456999{col 34}{space 2} .0273511{col 45}{space 1}    1.67{col 54}{space 3}0.095{col 62}{space 4}-.0079073{col 75}{space 3} .0993071
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .7514629{col 34}{space 2} .2820269{col 45}{space 1}    2.66{col 54}{space 3}0.008{col 62}{space 4} .1987004{col 75}{space 3} 1.304225
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0003334{col 34}{space 2} .0418666{col 45}{space 1}   -0.01{col 54}{space 3}0.994{col 62}{space 4}-.0823904{col 75}{space 3} .0817236
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0022927{col 34}{space 2} .0147526{col 45}{space 1}   -0.16{col 54}{space 3}0.876{col 62}{space 4}-.0312073{col 75}{space 3} .0266219
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0061491{col 34}{space 2} .1634248{col 45}{space 1}    0.04{col 54}{space 3}0.970{col 62}{space 4}-.3141576{col 75}{space 3} .3264559
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.5928683{col 34}{space 2} .3045274{col 45}{space 1}   -1.95{col 54}{space 3}0.052{col 62}{space 4}-1.189731{col 75}{space 3} .0039945
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2} .0000754{col 34}{space 2} .0000397{col 45}{space 1}    1.90{col 54}{space 3}0.058{col 62}{space 4}-2.40e-06{col 75}{space 3} .0001531
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .7215224{col 34}{space 2} .7669549{col 45}{space 1}    0.94{col 54}{space 3}0.347{col 62}{space 4}-.7816816{col 75}{space 3} 2.224726
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2}  -.11962{col 34}{space 2} .0393769{col 45}{space 1}   -3.04{col 54}{space 3}0.002{col 62}{space 4}-.1967974{col 75}{space 3}-.0424427
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.750116{col 34}{space 2} 1.044484{col 45}{space 1}    1.68{col 54}{space 3}0.094{col 62}{space 4}-.2970351{col 75}{space 3} 3.797268
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 2.025008{col 34}{space 2} 1.278697{col 45}{space 1}    1.58{col 54}{space 3}0.113{col 62}{space 4}-.4811909{col 75}{space 3} 4.531208
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} 1.468418{col 34}{space 2} 1.264489{col 45}{space 1}    1.16{col 54}{space 3}0.246{col 62}{space 4}-1.009935{col 75}{space 3}  3.94677
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} 1.447317{col 34}{space 2} 1.310131{col 45}{space 1}    1.10{col 54}{space 3}0.269{col 62}{space 4}-1.120493{col 75}{space 3} 4.015126
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.090767{col 34}{space 2} 1.420486{col 45}{space 1}    0.77{col 54}{space 3}0.443{col 62}{space 4}-1.693335{col 75}{space 3} 3.874869
{txt}{space 15}1997  {c |}{col 22}{res}{space 2}  2.03357{col 34}{space 2} 1.242606{col 45}{space 1}    1.64{col 54}{space 3}0.102{col 62}{space 4}-.4018926{col 75}{space 3} 4.469033
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.742928{col 34}{space 2} 1.351806{col 45}{space 1}    1.29{col 54}{space 3}0.197{col 62}{space 4}-.9065625{col 75}{space 3} 4.392418
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.577155{col 34}{space 2}  1.31658{col 45}{space 1}    1.96{col 54}{space 3}0.050{col 62}{space 4} -.003294{col 75}{space 3} 5.157603
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.733052{col 34}{space 2} 1.347808{col 45}{space 1}    1.29{col 54}{space 3}0.199{col 62}{space 4}-.9086035{col 75}{space 3} 4.374707
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} 1.332714{col 34}{space 2} 1.403329{col 45}{space 1}    0.95{col 54}{space 3}0.342{col 62}{space 4}-1.417761{col 75}{space 3} 4.083188
{txt}{space 15}2002  {c |}{col 22}{res}{space 2}  .605484{col 34}{space 2} 1.643908{col 45}{space 1}    0.37{col 54}{space 3}0.713{col 62}{space 4}-2.616517{col 75}{space 3} 3.827485
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .8417044{col 34}{space 2} 1.636038{col 45}{space 1}    0.51{col 54}{space 3}0.607{col 62}{space 4}-2.364871{col 75}{space 3}  4.04828
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 2.018181{col 34}{space 2} 1.399248{col 45}{space 1}    1.44{col 54}{space 3}0.149{col 62}{space 4}-.7242945{col 75}{space 3} 4.760656
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.885586{col 34}{space 2} 1.380178{col 45}{space 1}    1.37{col 54}{space 3}0.172{col 62}{space 4}-.8195138{col 75}{space 3} 4.590686
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} 2.061451{col 34}{space 2} 1.397271{col 45}{space 1}    1.48{col 54}{space 3}0.140{col 62}{space 4}-.6771505{col 75}{space 3} 4.800052
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 2.468033{col 34}{space 2} 1.361789{col 45}{space 1}    1.81{col 54}{space 3}0.070{col 62}{space 4}-.2010239{col 75}{space 3} 5.137091
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.873833{col 34}{space 2} 1.368111{col 45}{space 1}    1.37{col 54}{space 3}0.171{col 62}{space 4}-.8076158{col 75}{space 3} 4.555283
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 2.447903{col 34}{space 2} 1.423066{col 45}{space 1}    1.72{col 54}{space 3}0.085{col 62}{space 4}-.3412545{col 75}{space 3}  5.23706
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .8037897{col 34}{space 2} 1.616868{col 45}{space 1}    0.50{col 54}{space 3}0.619{col 62}{space 4}-2.365214{col 75}{space 3} 3.972793
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.744002{col 34}{space 2} 1.520246{col 45}{space 1}    1.15{col 54}{space 3}0.251{col 62}{space 4}-1.235626{col 75}{space 3}  4.72363
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.411907{col 34}{space 2} 2.951061{col 45}{space 1}   -0.48{col 54}{space 3}0.632{col 62}{space 4} -7.19588{col 75}{space 3} 4.372065
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store m2
{txt}
{com}. *Model 3, average over 3 years of PK contributions*
. logit mutinydum l.troops3yr l.nonUN3yr l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive l.coupattdum  mutinypy i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-176.98833}  
Iteration 1:{space 3}log pseudolikelihood = {res:-156.97903}  
Iteration 2:{space 3}log pseudolikelihood = {res:-147.27746}  
Iteration 3:{space 3}log pseudolikelihood = {res:-145.85248}  
Iteration 4:{space 3}log pseudolikelihood = {res:-145.00888}  
Iteration 5:{space 3}log pseudolikelihood = {res:-144.97677}  
Iteration 6:{space 3}log pseudolikelihood = {res:-144.97676}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       659
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    999.10
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-144.97676{txt}{col 49}Pseudo R2{col 67}= {res}    0.1809

{txt}{ralign 86:(Std. Err. adjusted for {res:45} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}troops3yr {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0002176{col 34}{space 2} .0001693{col 45}{space 1}   -1.29{col 54}{space 3}0.199{col 62}{space 4}-.0005494{col 75}{space 3} .0001142
{txt}{space 20} {c |}
{space 12}nonUN3yr {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0001021{col 34}{space 2} .0000182{col 45}{space 1}    5.61{col 54}{space 3}0.000{col 62}{space 4} .0000664{col 75}{space 3} .0001378
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0073055{col 34}{space 2} .0673452{col 45}{space 1}    0.11{col 54}{space 3}0.914{col 62}{space 4}-.1246886{col 75}{space 3} .1392996
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .721664{col 34}{space 2} .2695107{col 45}{space 1}    2.68{col 54}{space 3}0.007{col 62}{space 4} .1934326{col 75}{space 3} 1.249895
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0192496{col 34}{space 2} .0471578{col 45}{space 1}    0.41{col 54}{space 3}0.683{col 62}{space 4}-.0731779{col 75}{space 3} .1116771
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0069313{col 34}{space 2} .0177662{col 45}{space 1}   -0.39{col 54}{space 3}0.696{col 62}{space 4}-.0417524{col 75}{space 3} .0278899
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .1183011{col 34}{space 2} .1629498{col 45}{space 1}    0.73{col 54}{space 3}0.468{col 62}{space 4}-.2010746{col 75}{space 3} .4376768
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} -.442951{col 34}{space 2} .2904848{col 45}{space 1}   -1.52{col 54}{space 3}0.127{col 62}{space 4}-1.012291{col 75}{space 3} .1263888
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2} .0000494{col 34}{space 2} .0000414{col 45}{space 1}    1.19{col 54}{space 3}0.233{col 62}{space 4}-.0000317{col 75}{space 3} .0001305
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .9615037{col 34}{space 2}  .874546{col 45}{space 1}    1.10{col 54}{space 3}0.272{col 62}{space 4} -.752575{col 75}{space 3} 2.675582
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2}-.1088627{col 34}{space 2} .0366038{col 45}{space 1}   -2.97{col 54}{space 3}0.003{col 62}{space 4}-.1806049{col 75}{space 3}-.0371205
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1995  {c |}{col 22}{res}{space 2}-.0269493{col 34}{space 2}  .610659{col 45}{space 1}   -0.04{col 54}{space 3}0.965{col 62}{space 4}-1.223819{col 75}{space 3}  1.16992
{txt}{space 15}1996  {c |}{col 22}{res}{space 2}-.4585604{col 34}{space 2} 1.084167{col 45}{space 1}   -0.42{col 54}{space 3}0.672{col 62}{space 4}-2.583489{col 75}{space 3} 1.666368
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} .4832319{col 34}{space 2} .8466349{col 45}{space 1}    0.57{col 54}{space 3}0.568{col 62}{space 4}-1.176142{col 75}{space 3} 2.142606
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} .3121545{col 34}{space 2} .8640438{col 45}{space 1}    0.36{col 54}{space 3}0.718{col 62}{space 4} -1.38134{col 75}{space 3} 2.005649
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 1.040127{col 34}{space 2} .9319917{col 45}{space 1}    1.12{col 54}{space 3}0.264{col 62}{space 4}-.7865437{col 75}{space 3} 2.866797
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} .1257886{col 34}{space 2}  .972292{col 45}{space 1}    0.13{col 54}{space 3}0.897{col 62}{space 4}-1.779869{col 75}{space 3} 2.031446
{txt}{space 15}2001  {c |}{col 22}{res}{space 2}-.7393355{col 34}{space 2} 1.153735{col 45}{space 1}   -0.64{col 54}{space 3}0.522{col 62}{space 4}-3.000614{col 75}{space 3} 1.521943
{txt}{space 15}2002  {c |}{col 22}{res}{space 2}-1.331559{col 34}{space 2}  1.57562{col 45}{space 1}   -0.85{col 54}{space 3}0.398{col 62}{space 4}-4.419717{col 75}{space 3} 1.756599
{txt}{space 15}2003  {c |}{col 22}{res}{space 2}-.7969124{col 34}{space 2} 1.240102{col 45}{space 1}   -0.64{col 54}{space 3}0.520{col 62}{space 4}-3.227468{col 75}{space 3} 1.633644
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} .5096079{col 34}{space 2} 1.030003{col 45}{space 1}    0.49{col 54}{space 3}0.621{col 62}{space 4}-1.509162{col 75}{space 3} 2.528377
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} .3464059{col 34}{space 2} 1.041633{col 45}{space 1}    0.33{col 54}{space 3}0.739{col 62}{space 4}-1.695158{col 75}{space 3} 2.387969
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} .4967878{col 34}{space 2} 1.024036{col 45}{space 1}    0.49{col 54}{space 3}0.628{col 62}{space 4}-1.510286{col 75}{space 3} 2.503861
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} .8825219{col 34}{space 2} 1.032476{col 45}{space 1}    0.85{col 54}{space 3}0.393{col 62}{space 4}-1.141094{col 75}{space 3} 2.906138
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} .4805093{col 34}{space 2} .9787062{col 45}{space 1}    0.49{col 54}{space 3}0.623{col 62}{space 4} -1.43772{col 75}{space 3} 2.398738
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} .9799653{col 34}{space 2} 1.033881{col 45}{space 1}    0.95{col 54}{space 3}0.343{col 62}{space 4}-1.046404{col 75}{space 3} 3.006335
{txt}{space 15}2010  {c |}{col 22}{res}{space 2}-.6397246{col 34}{space 2} 1.303521{col 45}{space 1}   -0.49{col 54}{space 3}0.624{col 62}{space 4}-3.194578{col 75}{space 3} 1.915129
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} .3103651{col 34}{space 2} 1.154908{col 45}{space 1}    0.27{col 54}{space 3}0.788{col 62}{space 4}-1.953213{col 75}{space 3} 2.573943
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.644836{col 34}{space 2}  2.62182{col 45}{space 1}   -0.63{col 54}{space 3}0.530{col 62}{space 4}-6.783509{col 75}{space 3} 3.493837
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store m3
{txt}
{com}. *Model 4, logged UN and non-UN PK contributions*
. logit mutinydum l.lntroops l.lnnonUN l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive l.coupattdum  mutinypy i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-206.13192}  
Iteration 1:{space 3}log pseudolikelihood = {res:-180.45396}  
Iteration 2:{space 3}log pseudolikelihood = {res:-170.73976}  
Iteration 3:{space 3}log pseudolikelihood = {res:-170.42328}  
Iteration 4:{space 3}log pseudolikelihood = {res:-170.42304}  
Iteration 5:{space 3}log pseudolikelihood = {res:-170.42304}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       744
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}   2963.12
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-170.42304{txt}{col 49}Pseudo R2{col 67}= {res}    0.1732

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}lntroops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0400971{col 34}{space 2}  .080814{col 45}{space 1}   -0.50{col 54}{space 3}0.620{col 62}{space 4}-.1984896{col 75}{space 3} .1182954
{txt}{space 20} {c |}
{space 13}lnnonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .1325985{col 34}{space 2} .0680005{col 45}{space 1}    1.95{col 54}{space 3}0.051{col 62}{space 4}-.0006799{col 75}{space 3}  .265877
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0472975{col 34}{space 2} .0261759{col 45}{space 1}    1.81{col 54}{space 3}0.071{col 62}{space 4}-.0040064{col 75}{space 3} .0986014
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .7305674{col 34}{space 2} .2959802{col 45}{space 1}    2.47{col 54}{space 3}0.014{col 62}{space 4} .1504568{col 75}{space 3} 1.310678
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0032869{col 34}{space 2} .0410272{col 45}{space 1}    0.08{col 54}{space 3}0.936{col 62}{space 4}-.0771249{col 75}{space 3} .0836986
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0043363{col 34}{space 2} .0144176{col 45}{space 1}   -0.30{col 54}{space 3}0.764{col 62}{space 4}-.0325942{col 75}{space 3} .0239216
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0700003{col 34}{space 2} .1595521{col 45}{space 1}    0.44{col 54}{space 3}0.661{col 62}{space 4} -.242716{col 75}{space 3} .3827167
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.5743158{col 34}{space 2} .2806293{col 45}{space 1}   -2.05{col 54}{space 3}0.041{col 62}{space 4}-1.124339{col 75}{space 3}-.0242924
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2} .0000668{col 34}{space 2} .0000429{col 45}{space 1}    1.56{col 54}{space 3}0.119{col 62}{space 4}-.0000173{col 75}{space 3} .0001509
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .6627766{col 34}{space 2} .7997705{col 45}{space 1}    0.83{col 54}{space 3}0.407{col 62}{space 4}-.9047448{col 75}{space 3} 2.230298
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2}-.1127507{col 34}{space 2} .0398451{col 45}{space 1}   -2.83{col 54}{space 3}0.005{col 62}{space 4}-.1908456{col 75}{space 3}-.0346558
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.714687{col 34}{space 2} 1.028593{col 45}{space 1}    1.67{col 54}{space 3}0.096{col 62}{space 4}-.3013188{col 75}{space 3} 3.730692
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 1.982189{col 34}{space 2} 1.286297{col 45}{space 1}    1.54{col 54}{space 3}0.123{col 62}{space 4}-.5389071{col 75}{space 3} 4.503285
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} 1.452776{col 34}{space 2} 1.282286{col 45}{space 1}    1.13{col 54}{space 3}0.257{col 62}{space 4}-1.060459{col 75}{space 3} 3.966011
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} 1.391768{col 34}{space 2} 1.305528{col 45}{space 1}    1.07{col 54}{space 3}0.286{col 62}{space 4} -1.16702{col 75}{space 3} 3.950555
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.047825{col 34}{space 2} 1.439745{col 45}{space 1}    0.73{col 54}{space 3}0.467{col 62}{space 4}-1.774024{col 75}{space 3} 3.869674
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 1.958717{col 34}{space 2} 1.252911{col 45}{space 1}    1.56{col 54}{space 3}0.118{col 62}{space 4}-.4969431{col 75}{space 3} 4.414378
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.773698{col 34}{space 2} 1.321015{col 45}{space 1}    1.34{col 54}{space 3}0.179{col 62}{space 4}-.8154441{col 75}{space 3} 4.362841
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.521722{col 34}{space 2}  1.32412{col 45}{space 1}    1.90{col 54}{space 3}0.057{col 62}{space 4}-.0735044{col 75}{space 3} 5.116949
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.745864{col 34}{space 2}  1.33962{col 45}{space 1}    1.30{col 54}{space 3}0.192{col 62}{space 4}-.8797416{col 75}{space 3}  4.37147
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} 1.293208{col 34}{space 2} 1.395074{col 45}{space 1}    0.93{col 54}{space 3}0.354{col 62}{space 4}-1.441086{col 75}{space 3} 4.027503
{txt}{space 15}2002  {c |}{col 22}{res}{space 2}  .581927{col 34}{space 2}  1.64448{col 45}{space 1}    0.35{col 54}{space 3}0.723{col 62}{space 4}-2.641195{col 75}{space 3} 3.805049
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .7889754{col 34}{space 2} 1.644362{col 45}{space 1}    0.48{col 54}{space 3}0.631{col 62}{space 4}-2.433915{col 75}{space 3} 4.011866
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 1.926184{col 34}{space 2}  1.42346{col 45}{space 1}    1.35{col 54}{space 3}0.176{col 62}{space 4}-.8637459{col 75}{space 3} 4.716113
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.835084{col 34}{space 2} 1.373551{col 45}{space 1}    1.34{col 54}{space 3}0.182{col 62}{space 4}-.8570277{col 75}{space 3} 4.527195
{txt}{space 15}2006  {c |}{col 22}{res}{space 2}  1.98531{col 34}{space 2} 1.398975{col 45}{space 1}    1.42{col 54}{space 3}0.156{col 62}{space 4}-.7566311{col 75}{space 3}  4.72725
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 2.264525{col 34}{space 2} 1.379741{col 45}{space 1}    1.64{col 54}{space 3}0.101{col 62}{space 4}-.4397175{col 75}{space 3} 4.968768
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.618014{col 34}{space 2} 1.408635{col 45}{space 1}    1.15{col 54}{space 3}0.251{col 62}{space 4} -1.14286{col 75}{space 3} 4.378888
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 2.375481{col 34}{space 2} 1.449839{col 45}{space 1}    1.64{col 54}{space 3}0.101{col 62}{space 4}-.4661504{col 75}{space 3} 5.217112
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .7505456{col 34}{space 2} 1.594241{col 45}{space 1}    0.47{col 54}{space 3}0.638{col 62}{space 4}-2.374109{col 75}{space 3}   3.8752
{txt}{space 15}2011  {c |}{col 22}{res}{space 2}  1.63137{col 34}{space 2} 1.548351{col 45}{space 1}    1.05{col 54}{space 3}0.292{col 62}{space 4}-1.403343{col 75}{space 3} 4.666083
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-2.022094{col 34}{space 2} 2.750085{col 45}{space 1}   -0.74{col 54}{space 3}0.462{col 62}{space 4}-7.412161{col 75}{space 3} 3.367973
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store m4
{txt}
{com}. esttab m1 m2 m3 m4 using "Tab1.rtf", mtitles("(1) All PK" "(2) UN and non-UN" "(3) 3 year total" "(4) Logged PK") obslast drop (_cons *.year ) order(*.allPKO *.troops *.troops3yr *.lntroops  *.nonUN *.nonUN3yr *.lnnonUN) stats(aic bic) se star(+ 0.10 * 0.05 ** .01) nocon title(Table 1: Country-year logit regression of mutiny, 1990-2011) nonumbers label  b(%10.5f)  nonotes addnotes("Standard errors clustered on country in parentheses." "+ p<.1 *<.05 **<.01") replace 
{res}{txt}(note: file Tab1.rtf not found)
(output written to {browse  `"Tab1.rtf"'})

{com}. 
. *FIGURE 2*
. *Substantive effect of non UN troops, +-2SD above the mean, model 2 table 1*
. set scheme plotplain
{txt}
{com}. gen pipe = "|"
{txt}
{com}. gen where=0
{txt}
{com}. egen nonUNtag=tag(nonUN)if nonUN<=2500
{txt}
{com}. logit mutinydum l.troops l.nonUN   l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive mutinypy l.coupattdum i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-206.13192}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181.46064}  
Iteration 2:{space 3}log pseudolikelihood = {res:-170.64405}  
Iteration 3:{space 3}log pseudolikelihood = {res:-169.95414}  
Iteration 4:{space 3}log pseudolikelihood = {res:-169.91713}  
Iteration 5:{space 3}log pseudolikelihood = {res:-169.91712}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       744
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}   2400.05
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-169.91712{txt}{col 49}Pseudo R2{col 67}= {res}    0.1757

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0000246{col 34}{space 2}   .00021{col 45}{space 1}    0.12{col 54}{space 3}0.907{col 62}{space 4} -.000387{col 75}{space 3} .0004361
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0002811{col 34}{space 2} .0000536{col 45}{space 1}    5.25{col 54}{space 3}0.000{col 62}{space 4} .0001761{col 75}{space 3} .0003861
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0456999{col 34}{space 2} .0273511{col 45}{space 1}    1.67{col 54}{space 3}0.095{col 62}{space 4}-.0079073{col 75}{space 3} .0993071
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .7514629{col 34}{space 2} .2820269{col 45}{space 1}    2.66{col 54}{space 3}0.008{col 62}{space 4} .1987004{col 75}{space 3} 1.304225
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0003334{col 34}{space 2} .0418666{col 45}{space 1}   -0.01{col 54}{space 3}0.994{col 62}{space 4}-.0823904{col 75}{space 3} .0817236
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0022927{col 34}{space 2} .0147526{col 45}{space 1}   -0.16{col 54}{space 3}0.876{col 62}{space 4}-.0312073{col 75}{space 3} .0266219
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0061491{col 34}{space 2} .1634248{col 45}{space 1}    0.04{col 54}{space 3}0.970{col 62}{space 4}-.3141576{col 75}{space 3} .3264559
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.5928683{col 34}{space 2} .3045274{col 45}{space 1}   -1.95{col 54}{space 3}0.052{col 62}{space 4}-1.189731{col 75}{space 3} .0039945
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2} .0000754{col 34}{space 2} .0000397{col 45}{space 1}    1.90{col 54}{space 3}0.058{col 62}{space 4}-2.40e-06{col 75}{space 3} .0001531
{txt}{space 12}mutinypy {c |}{col 22}{res}{space 2}  -.11962{col 34}{space 2} .0393769{col 45}{space 1}   -3.04{col 54}{space 3}0.002{col 62}{space 4}-.1967974{col 75}{space 3}-.0424427
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .7215224{col 34}{space 2} .7669549{col 45}{space 1}    0.94{col 54}{space 3}0.347{col 62}{space 4}-.7816816{col 75}{space 3} 2.224726
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.750116{col 34}{space 2} 1.044484{col 45}{space 1}    1.68{col 54}{space 3}0.094{col 62}{space 4}-.2970351{col 75}{space 3} 3.797268
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 2.025008{col 34}{space 2} 1.278697{col 45}{space 1}    1.58{col 54}{space 3}0.113{col 62}{space 4}-.4811909{col 75}{space 3} 4.531208
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} 1.468418{col 34}{space 2} 1.264489{col 45}{space 1}    1.16{col 54}{space 3}0.246{col 62}{space 4}-1.009935{col 75}{space 3}  3.94677
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} 1.447317{col 34}{space 2} 1.310131{col 45}{space 1}    1.10{col 54}{space 3}0.269{col 62}{space 4}-1.120493{col 75}{space 3} 4.015126
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.090767{col 34}{space 2} 1.420486{col 45}{space 1}    0.77{col 54}{space 3}0.443{col 62}{space 4}-1.693335{col 75}{space 3} 3.874869
{txt}{space 15}1997  {c |}{col 22}{res}{space 2}  2.03357{col 34}{space 2} 1.242606{col 45}{space 1}    1.64{col 54}{space 3}0.102{col 62}{space 4}-.4018926{col 75}{space 3} 4.469033
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.742928{col 34}{space 2} 1.351806{col 45}{space 1}    1.29{col 54}{space 3}0.197{col 62}{space 4}-.9065625{col 75}{space 3} 4.392418
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.577155{col 34}{space 2}  1.31658{col 45}{space 1}    1.96{col 54}{space 3}0.050{col 62}{space 4} -.003294{col 75}{space 3} 5.157603
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.733052{col 34}{space 2} 1.347808{col 45}{space 1}    1.29{col 54}{space 3}0.199{col 62}{space 4}-.9086035{col 75}{space 3} 4.374707
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} 1.332714{col 34}{space 2} 1.403329{col 45}{space 1}    0.95{col 54}{space 3}0.342{col 62}{space 4}-1.417761{col 75}{space 3} 4.083188
{txt}{space 15}2002  {c |}{col 22}{res}{space 2}  .605484{col 34}{space 2} 1.643908{col 45}{space 1}    0.37{col 54}{space 3}0.713{col 62}{space 4}-2.616517{col 75}{space 3} 3.827485
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .8417044{col 34}{space 2} 1.636038{col 45}{space 1}    0.51{col 54}{space 3}0.607{col 62}{space 4}-2.364871{col 75}{space 3}  4.04828
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 2.018181{col 34}{space 2} 1.399248{col 45}{space 1}    1.44{col 54}{space 3}0.149{col 62}{space 4}-.7242945{col 75}{space 3} 4.760656
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.885586{col 34}{space 2} 1.380178{col 45}{space 1}    1.37{col 54}{space 3}0.172{col 62}{space 4}-.8195138{col 75}{space 3} 4.590686
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} 2.061451{col 34}{space 2} 1.397271{col 45}{space 1}    1.48{col 54}{space 3}0.140{col 62}{space 4}-.6771505{col 75}{space 3} 4.800052
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 2.468033{col 34}{space 2} 1.361789{col 45}{space 1}    1.81{col 54}{space 3}0.070{col 62}{space 4}-.2010239{col 75}{space 3} 5.137091
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.873833{col 34}{space 2} 1.368111{col 45}{space 1}    1.37{col 54}{space 3}0.171{col 62}{space 4}-.8076158{col 75}{space 3} 4.555283
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 2.447903{col 34}{space 2} 1.423066{col 45}{space 1}    1.72{col 54}{space 3}0.085{col 62}{space 4}-.3412545{col 75}{space 3}  5.23706
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .8037897{col 34}{space 2} 1.616868{col 45}{space 1}    0.50{col 54}{space 3}0.619{col 62}{space 4}-2.365214{col 75}{space 3} 3.972793
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.744002{col 34}{space 2} 1.520246{col 45}{space 1}    1.15{col 54}{space 3}0.251{col 62}{space 4}-1.235626{col 75}{space 3}  4.72363
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.411907{col 34}{space 2} 2.951061{col 45}{space 1}   -0.48{col 54}{space 3}0.632{col 62}{space 4} -7.19588{col 75}{space 3} 4.372065
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, atmeans at(l.nonUN=(0(250)2500)) vsquish
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       744
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(mutinydum), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:L.troops}{space 8}{txt:=} {space 3}185.2185 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.nonUN}{space 9}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.ln_milex~t}{space 4}{txt:=} {space 3}2.862543 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupproo~g}{space 4}{txt:=} {space 3}1.658385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.polity}{space 8}{txt:=} {space 3}.5053763 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.durable}{space 7}{txt:=} {space 3}10.80242 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lnpop}{space 9}{txt:=} {space 3}8.937891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lncgdp}{space 8}{txt:=} {space 3}6.576664 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allPKOrece~e}{space 4}{txt:=} {space 3}479.8402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mutinypy}{space 8}{txt:=} {space 3}7.806452 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupattdum}{space 4}{txt:=} {space 3}.0322581 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1991.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.year}{space 7}{txt:=} {space 3}.0376344 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1993.year}{space 7}{txt:=} {space 3}.0336022 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.year}{space 7}{txt:=} {space 3}.0416667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1995.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1997.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1999.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2001.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2003.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2005.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2007.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2009.year}{space 7}{txt:=} {space 4}.047043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.year}{space 7}{txt:=} {space 3}.0443548 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2011.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:L.troops}{space 8}{txt:=} {space 3}185.2185 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.nonUN}{space 9}{txt:=} {space 8}250}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.ln_milex~t}{space 4}{txt:=} {space 3}2.862543 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupproo~g}{space 4}{txt:=} {space 3}1.658385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.polity}{space 8}{txt:=} {space 3}.5053763 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.durable}{space 7}{txt:=} {space 3}10.80242 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lnpop}{space 9}{txt:=} {space 3}8.937891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lncgdp}{space 8}{txt:=} {space 3}6.576664 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allPKOrece~e}{space 4}{txt:=} {space 3}479.8402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mutinypy}{space 8}{txt:=} {space 3}7.806452 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupattdum}{space 4}{txt:=} {space 3}.0322581 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1991.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.year}{space 7}{txt:=} {space 3}.0376344 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1993.year}{space 7}{txt:=} {space 3}.0336022 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.year}{space 7}{txt:=} {space 3}.0416667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1995.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1997.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1999.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2001.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2003.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2005.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2007.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2009.year}{space 7}{txt:=} {space 4}.047043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.year}{space 7}{txt:=} {space 3}.0443548 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2011.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:L.troops}{space 8}{txt:=} {space 3}185.2185 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.nonUN}{space 9}{txt:=} {space 8}500}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.ln_milex~t}{space 4}{txt:=} {space 3}2.862543 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupproo~g}{space 4}{txt:=} {space 3}1.658385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.polity}{space 8}{txt:=} {space 3}.5053763 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.durable}{space 7}{txt:=} {space 3}10.80242 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lnpop}{space 9}{txt:=} {space 3}8.937891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lncgdp}{space 8}{txt:=} {space 3}6.576664 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allPKOrece~e}{space 4}{txt:=} {space 3}479.8402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mutinypy}{space 8}{txt:=} {space 3}7.806452 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupattdum}{space 4}{txt:=} {space 3}.0322581 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1991.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.year}{space 7}{txt:=} {space 3}.0376344 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1993.year}{space 7}{txt:=} {space 3}.0336022 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.year}{space 7}{txt:=} {space 3}.0416667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1995.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1997.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1999.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2001.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2003.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2005.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2007.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2009.year}{space 7}{txt:=} {space 4}.047043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.year}{space 7}{txt:=} {space 3}.0443548 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2011.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:L.troops}{space 8}{txt:=} {space 3}185.2185 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.nonUN}{space 9}{txt:=} {space 8}750}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.ln_milex~t}{space 4}{txt:=} {space 3}2.862543 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupproo~g}{space 4}{txt:=} {space 3}1.658385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.polity}{space 8}{txt:=} {space 3}.5053763 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.durable}{space 7}{txt:=} {space 3}10.80242 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lnpop}{space 9}{txt:=} {space 3}8.937891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lncgdp}{space 8}{txt:=} {space 3}6.576664 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allPKOrece~e}{space 4}{txt:=} {space 3}479.8402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mutinypy}{space 8}{txt:=} {space 3}7.806452 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupattdum}{space 4}{txt:=} {space 3}.0322581 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1991.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.year}{space 7}{txt:=} {space 3}.0376344 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1993.year}{space 7}{txt:=} {space 3}.0336022 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.year}{space 7}{txt:=} {space 3}.0416667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1995.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1997.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1999.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2001.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2003.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2005.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2007.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2009.year}{space 7}{txt:=} {space 4}.047043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.year}{space 7}{txt:=} {space 3}.0443548 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2011.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:L.troops}{space 8}{txt:=} {space 3}185.2185 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.nonUN}{space 9}{txt:=} {space 7}1000}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.ln_milex~t}{space 4}{txt:=} {space 3}2.862543 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupproo~g}{space 4}{txt:=} {space 3}1.658385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.polity}{space 8}{txt:=} {space 3}.5053763 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.durable}{space 7}{txt:=} {space 3}10.80242 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lnpop}{space 9}{txt:=} {space 3}8.937891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lncgdp}{space 8}{txt:=} {space 3}6.576664 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allPKOrece~e}{space 4}{txt:=} {space 3}479.8402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mutinypy}{space 8}{txt:=} {space 3}7.806452 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupattdum}{space 4}{txt:=} {space 3}.0322581 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1991.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.year}{space 7}{txt:=} {space 3}.0376344 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1993.year}{space 7}{txt:=} {space 3}.0336022 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.year}{space 7}{txt:=} {space 3}.0416667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1995.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1997.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1999.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2001.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2003.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2005.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2007.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2009.year}{space 7}{txt:=} {space 4}.047043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.year}{space 7}{txt:=} {space 3}.0443548 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2011.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:L.troops}{space 8}{txt:=} {space 3}185.2185 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.nonUN}{space 9}{txt:=} {space 7}1250}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.ln_milex~t}{space 4}{txt:=} {space 3}2.862543 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupproo~g}{space 4}{txt:=} {space 3}1.658385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.polity}{space 8}{txt:=} {space 3}.5053763 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.durable}{space 7}{txt:=} {space 3}10.80242 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lnpop}{space 9}{txt:=} {space 3}8.937891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lncgdp}{space 8}{txt:=} {space 3}6.576664 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allPKOrece~e}{space 4}{txt:=} {space 3}479.8402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mutinypy}{space 8}{txt:=} {space 3}7.806452 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupattdum}{space 4}{txt:=} {space 3}.0322581 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1991.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.year}{space 7}{txt:=} {space 3}.0376344 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1993.year}{space 7}{txt:=} {space 3}.0336022 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.year}{space 7}{txt:=} {space 3}.0416667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1995.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1997.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1999.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2001.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2003.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2005.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2007.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2009.year}{space 7}{txt:=} {space 4}.047043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.year}{space 7}{txt:=} {space 3}.0443548 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2011.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:L.troops}{space 8}{txt:=} {space 3}185.2185 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.nonUN}{space 9}{txt:=} {space 7}1500}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.ln_milex~t}{space 4}{txt:=} {space 3}2.862543 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupproo~g}{space 4}{txt:=} {space 3}1.658385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.polity}{space 8}{txt:=} {space 3}.5053763 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.durable}{space 7}{txt:=} {space 3}10.80242 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lnpop}{space 9}{txt:=} {space 3}8.937891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lncgdp}{space 8}{txt:=} {space 3}6.576664 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allPKOrece~e}{space 4}{txt:=} {space 3}479.8402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mutinypy}{space 8}{txt:=} {space 3}7.806452 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupattdum}{space 4}{txt:=} {space 3}.0322581 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1991.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.year}{space 7}{txt:=} {space 3}.0376344 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1993.year}{space 7}{txt:=} {space 3}.0336022 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.year}{space 7}{txt:=} {space 3}.0416667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1995.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1997.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1999.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2001.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2003.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2005.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2007.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2009.year}{space 7}{txt:=} {space 4}.047043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.year}{space 7}{txt:=} {space 3}.0443548 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2011.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:L.troops}{space 8}{txt:=} {space 3}185.2185 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.nonUN}{space 9}{txt:=} {space 7}1750}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.ln_milex~t}{space 4}{txt:=} {space 3}2.862543 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupproo~g}{space 4}{txt:=} {space 3}1.658385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.polity}{space 8}{txt:=} {space 3}.5053763 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.durable}{space 7}{txt:=} {space 3}10.80242 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lnpop}{space 9}{txt:=} {space 3}8.937891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lncgdp}{space 8}{txt:=} {space 3}6.576664 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allPKOrece~e}{space 4}{txt:=} {space 3}479.8402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mutinypy}{space 8}{txt:=} {space 3}7.806452 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupattdum}{space 4}{txt:=} {space 3}.0322581 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1991.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.year}{space 7}{txt:=} {space 3}.0376344 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1993.year}{space 7}{txt:=} {space 3}.0336022 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.year}{space 7}{txt:=} {space 3}.0416667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1995.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1997.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1999.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2001.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2003.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2005.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2007.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2009.year}{space 7}{txt:=} {space 4}.047043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.year}{space 7}{txt:=} {space 3}.0443548 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2011.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:L.troops}{space 8}{txt:=} {space 3}185.2185 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.nonUN}{space 9}{txt:=} {space 7}2000}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.ln_milex~t}{space 4}{txt:=} {space 3}2.862543 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupproo~g}{space 4}{txt:=} {space 3}1.658385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.polity}{space 8}{txt:=} {space 3}.5053763 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.durable}{space 7}{txt:=} {space 3}10.80242 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lnpop}{space 9}{txt:=} {space 3}8.937891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lncgdp}{space 8}{txt:=} {space 3}6.576664 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allPKOrece~e}{space 4}{txt:=} {space 3}479.8402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mutinypy}{space 8}{txt:=} {space 3}7.806452 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupattdum}{space 4}{txt:=} {space 3}.0322581 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1991.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.year}{space 7}{txt:=} {space 3}.0376344 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1993.year}{space 7}{txt:=} {space 3}.0336022 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.year}{space 7}{txt:=} {space 3}.0416667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1995.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1997.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1999.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2001.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2003.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2005.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2007.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2009.year}{space 7}{txt:=} {space 4}.047043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.year}{space 7}{txt:=} {space 3}.0443548 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2011.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:L.troops}{space 8}{txt:=} {space 3}185.2185 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.nonUN}{space 9}{txt:=} {space 7}2250}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.ln_milex~t}{space 4}{txt:=} {space 3}2.862543 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupproo~g}{space 4}{txt:=} {space 3}1.658385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.polity}{space 8}{txt:=} {space 3}.5053763 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.durable}{space 7}{txt:=} {space 3}10.80242 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lnpop}{space 9}{txt:=} {space 3}8.937891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lncgdp}{space 8}{txt:=} {space 3}6.576664 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allPKOrece~e}{space 4}{txt:=} {space 3}479.8402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mutinypy}{space 8}{txt:=} {space 3}7.806452 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupattdum}{space 4}{txt:=} {space 3}.0322581 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1991.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.year}{space 7}{txt:=} {space 3}.0376344 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1993.year}{space 7}{txt:=} {space 3}.0336022 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.year}{space 7}{txt:=} {space 3}.0416667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1995.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1997.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1999.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2001.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2003.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2005.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2007.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2009.year}{space 7}{txt:=} {space 4}.047043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.year}{space 7}{txt:=} {space 3}.0443548 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2011.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:L.troops}{space 8}{txt:=} {space 3}185.2185 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.nonUN}{space 9}{txt:=} {space 7}2500}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.ln_milex~t}{space 4}{txt:=} {space 3}2.862543 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupproo~g}{space 4}{txt:=} {space 3}1.658385 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.polity}{space 8}{txt:=} {space 3}.5053763 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.durable}{space 7}{txt:=} {space 3}10.80242 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lnpop}{space 9}{txt:=} {space 3}8.937891 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.lncgdp}{space 8}{txt:=} {space 3}6.576664 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:allPKOrece~e}{space 4}{txt:=} {space 3}479.8402 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mutinypy}{space 8}{txt:=} {space 3}7.806452 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.coupattdum}{space 4}{txt:=} {space 3}.0322581 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1991.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1992.year}{space 7}{txt:=} {space 3}.0376344 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1993.year}{space 7}{txt:=} {space 3}.0336022 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1994.year}{space 7}{txt:=} {space 3}.0416667 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1995.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1996.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1997.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1998.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1999.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2000.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2001.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2002.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2003.year}{space 7}{txt:=} {space 3}.0510753 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2004.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2005.year}{space 7}{txt:=} {space 3}.0551075 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2006.year}{space 7}{txt:=} {space 3}.0524194 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2007.year}{space 7}{txt:=} {space 3}.0483871 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2008.year}{space 7}{txt:=} {space 3}.0497312 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2009.year}{space 7}{txt:=} {space 4}.047043 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2010.year}{space 7}{txt:=} {space 3}.0443548 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2011.year}{space 7}{txt:=} {space 3}.0430108 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0409887{col 26}{space 2} .0084435{col 37}{space 1}    4.85{col 46}{space 3}0.000{col 54}{space 4} .0244397{col 67}{space 3} .0575376
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0438421{col 26}{space 2} .0087728{col 37}{space 1}    5.00{col 46}{space 3}0.000{col 54}{space 4} .0266477{col 67}{space 3} .0610365
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0468845{col 26}{space 2} .0091374{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4} .0289754{col 67}{space 3} .0647936
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0501269{col 26}{space 2}  .009545{col 37}{space 1}    5.25{col 46}{space 3}0.000{col 54}{space 4} .0314191{col 67}{space 3} .0688348
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  .053581{col 26}{space 2} .0100041{col 37}{space 1}    5.36{col 46}{space 3}0.000{col 54}{space 4} .0339733{col 67}{space 3} .0731887
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0572587{col 26}{space 2} .0105243{col 37}{space 1}    5.44{col 46}{space 3}0.000{col 54}{space 4} .0366315{col 67}{space 3}  .077886
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0611726{col 26}{space 2} .0111158{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4}  .039386{col 67}{space 3} .0829592
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0653354{col 26}{space 2} .0117895{col 37}{space 1}    5.54{col 46}{space 3}0.000{col 54}{space 4} .0422284{col 67}{space 3} .0884425
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0697605{col 26}{space 2} .0125567{col 37}{space 1}    5.56{col 46}{space 3}0.000{col 54}{space 4} .0451498{col 67}{space 3} .0943712
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0744614{col 26}{space 2} .0134287{col 37}{space 1}    5.54{col 46}{space 3}0.000{col 54}{space 4} .0481417{col 67}{space 3} .1007811
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  .079452{col 26}{space 2} .0144167{col 37}{space 1}    5.51{col 46}{space 3}0.000{col 54}{space 4} .0511958{col 67}{space 3} .1077083
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot,   addplot(scatter where nonUN if nonUNtag==1, ms(none) mlabel(pipe) xlabel(0[500]2500) xsc(r(0(500)2500)))  title("")  recast(line) plot1opts(lpattern() lcolor(green) ) recastci(rarea)  legend(off) ciopts(color(gs15)) xtitle("Non-UN peacekeeper contributions", size(small)) ytitle("Probability of mutiny", size(small)) 

{text}{p 2 6 2}Variables that uniquely identify margins: L.nonUN{p_end}
{res}{txt}
{com}. drop pipe
{txt}
{com}. drop where
{txt}
{com}. drop nonUNtag
{txt}
{com}. 
. *TABLE 2*
. *Models 5&6, PKO contributions and effect on mutinies as joint process*
.  cmp (lnallPKO= l.allPKOdum l.allPKOreceive l.ln_milexsoldierconst l.coupproofing  l.lncgdp  l.polity l.durable mutinypy i.year) , cluster(cowcode) ind($cmp_cont) 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       782
{txt}{hline 13}{c +}{hline 34}   F(28, 753)      = {res}    29.35
{txt}       Model {c |} {res} 3705.17055        28   132.32752   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 3394.58051       753  4.50807505   {txt}R-squared       ={res}    0.5219
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5041
{txt}       Total {c |} {res} 7099.75106       781  9.09059035   {txt}Root MSE        =   {res} 2.1232

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            lnallPKO{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}allPKOdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  4.19188{col 34}{space 2} .1750407{col 45}{space 1}   23.95{col 54}{space 3}0.000{col 62}{space 4} 3.848255{col 75}{space 3} 4.535506
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} -.000091{col 34}{space 2}  .000039{col 45}{space 1}   -2.33{col 54}{space 3}0.020{col 62}{space 4}-.0001675{col 75}{space 3}-.0000145
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0820534{col 34}{space 2} .0424033{col 45}{space 1}    1.94{col 54}{space 3}0.053{col 62}{space 4}-.0011894{col 75}{space 3} .1652961
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.5184421{col 34}{space 2} .1273881{col 45}{space 1}   -4.07{col 54}{space 3}0.000{col 62}{space 4}-.7685201{col 75}{space 3}-.2683641
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0205445{col 34}{space 2} .0888253{col 45}{space 1}   -0.23{col 54}{space 3}0.817{col 62}{space 4}-.1949191{col 75}{space 3} .1538302
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0160388{col 34}{space 2} .0152502{col 45}{space 1}   -1.05{col 54}{space 3}0.293{col 62}{space 4}-.0459767{col 75}{space 3} .0138991
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0043029{col 34}{space 2} .0075685{col 45}{space 1}   -0.57{col 54}{space 3}0.570{col 62}{space 4}-.0191608{col 75}{space 3}  .010555
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2}-.0029405{col 34}{space 2} .0172138{col 45}{space 1}   -0.17{col 54}{space 3}0.864{col 62}{space 4}-.0367332{col 75}{space 3} .0308523
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} .2705075{col 34}{space 2} .5423857{col 45}{space 1}    0.50{col 54}{space 3}0.618{col 62}{space 4}-.7942604{col 75}{space 3} 1.335275
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} .2561132{col 34}{space 2}  .564324{col 45}{space 1}    0.45{col 54}{space 3}0.650{col 62}{space 4}-.8517221{col 75}{space 3} 1.363949
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} .8537511{col 34}{space 2}  .539871{col 45}{space 1}    1.58{col 54}{space 3}0.114{col 62}{space 4}-.2060802{col 75}{space 3} 1.913582
{txt}{space 15}1995  {c |}{col 22}{res}{space 2}-.4654153{col 34}{space 2} .5320726{col 45}{space 1}   -0.87{col 54}{space 3}0.382{col 62}{space 4}-1.509937{col 75}{space 3} .5791067
{txt}{space 15}1996  {c |}{col 22}{res}{space 2}-.9063321{col 34}{space 2} .5372999{col 45}{space 1}   -1.69{col 54}{space 3}0.092{col 62}{space 4}-1.961116{col 75}{space 3} .1484517
{txt}{space 15}1997  {c |}{col 22}{res}{space 2}-.2329376{col 34}{space 2} .5338835{col 45}{space 1}   -0.44{col 54}{space 3}0.663{col 62}{space 4}-1.281015{col 75}{space 3} .8151394
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} .3844825{col 34}{space 2} .5397856{col 45}{space 1}    0.71{col 54}{space 3}0.477{col 62}{space 4}-.6751811{col 75}{space 3} 1.444146
{txt}{space 15}1999  {c |}{col 22}{res}{space 2}-.3930959{col 34}{space 2} .5398986{col 45}{space 1}   -0.73{col 54}{space 3}0.467{col 62}{space 4}-1.452981{col 75}{space 3} .6667896
{txt}{space 15}2000  {c |}{col 22}{res}{space 2}-.9833418{col 34}{space 2} .5431639{col 45}{space 1}   -1.81{col 54}{space 3}0.071{col 62}{space 4}-2.049637{col 75}{space 3} .0829538
{txt}{space 15}2001  {c |}{col 22}{res}{space 2}-.2956344{col 34}{space 2} .5471148{col 45}{space 1}   -0.54{col 54}{space 3}0.589{col 62}{space 4}-1.369686{col 75}{space 3} .7784173
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} -.572032{col 34}{space 2} .5493327{col 45}{space 1}   -1.04{col 54}{space 3}0.298{col 62}{space 4}-1.650438{col 75}{space 3} .5063737
{txt}{space 15}2003  {c |}{col 22}{res}{space 2}-.1865279{col 34}{space 2} .5529753{col 45}{space 1}   -0.34{col 54}{space 3}0.736{col 62}{space 4}-1.272084{col 75}{space 3} .8990286
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} .5150705{col 34}{space 2} .5563888{col 45}{space 1}    0.93{col 54}{space 3}0.355{col 62}{space 4}-.5771871{col 75}{space 3} 1.607328
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} .0061243{col 34}{space 2} .5601352{col 45}{space 1}    0.01{col 54}{space 3}0.991{col 62}{space 4}-1.093488{col 75}{space 3} 1.105737
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} .4727803{col 34}{space 2} .5643086{col 45}{space 1}    0.84{col 54}{space 3}0.402{col 62}{space 4} -.635025{col 75}{space 3} 1.580586
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} .1913076{col 34}{space 2} .5780396{col 45}{space 1}    0.33{col 54}{space 3}0.741{col 62}{space 4}-.9434531{col 75}{space 3} 1.326068
{txt}{space 15}2008  {c |}{col 22}{res}{space 2}-.3538886{col 34}{space 2} .5813409{col 45}{space 1}   -0.61{col 54}{space 3}0.543{col 62}{space 4} -1.49513{col 75}{space 3}  .787353
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} .0526107{col 34}{space 2} .5856814{col 45}{space 1}    0.09{col 54}{space 3}0.928{col 62}{space 4}-1.097152{col 75}{space 3} 1.202373
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .6725798{col 34}{space 2} .6002566{col 45}{space 1}    1.12{col 54}{space 3}0.263{col 62}{space 4}-.5057954{col 75}{space 3} 1.850955
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} .5200951{col 34}{space 2} .6134408{col 45}{space 1}    0.85{col 54}{space 3}0.397{col 62}{space 4}-.6841624{col 75}{space 3} 1.724353
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 1.380683{col 34}{space 2} .6872818{col 45}{space 1}    2.01{col 54}{space 3}0.045{col 62}{space 4} .0314668{col 75}{space 3} 2.729899
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}lnallPKO{res} equation appears ill-conditioned. (Condition number = 256.27198.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1683.9052}  
{res}{txt}Iteration 1:{space 3}log pseudolikelihood = {res:-1683.6296}  
{res}{txt}Iteration 2:{space 3}log pseudolikelihood = {res:-1683.6295}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}       782
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    910.92
{txt}Log pseudolikelihood = {res}-1683.6295{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}            lnallPKO{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}lnallPKO             {txt}{c |}
{space 11}allPKOdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  4.19188{col 34}{space 2} .4218913{col 45}{space 1}    9.94{col 54}{space 3}0.000{col 62}{space 4} 3.364989{col 75}{space 3} 5.018772
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} -.000091{col 34}{space 2} .0000406{col 45}{space 1}   -2.24{col 54}{space 3}0.025{col 62}{space 4}-.0001706{col 75}{space 3}-.0000114
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0820534{col 34}{space 2} .0622957{col 45}{space 1}    1.32{col 54}{space 3}0.188{col 62}{space 4} -.040044{col 75}{space 3} .2041507
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.5184421{col 34}{space 2} .2059949{col 45}{space 1}   -2.52{col 54}{space 3}0.012{col 62}{space 4}-.9221847{col 75}{space 3}-.1146995
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0205445{col 34}{space 2} .1296395{col 45}{space 1}   -0.16{col 54}{space 3}0.874{col 62}{space 4}-.2746333{col 75}{space 3} .2335444
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0160388{col 34}{space 2} .0250404{col 45}{space 1}   -0.64{col 54}{space 3}0.522{col 62}{space 4}-.0651171{col 75}{space 3} .0330395
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0043029{col 34}{space 2} .0144471{col 45}{space 1}   -0.30{col 54}{space 3}0.766{col 62}{space 4}-.0326188{col 75}{space 3}  .024013
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2}-.0029405{col 34}{space 2} .0363439{col 45}{space 1}   -0.08{col 54}{space 3}0.936{col 62}{space 4}-.0741732{col 75}{space 3} .0682922
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} .2705075{col 34}{space 2} .4448485{col 45}{space 1}    0.61{col 54}{space 3}0.543{col 62}{space 4}-.6013795{col 75}{space 3} 1.142394
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} .2561132{col 34}{space 2} .5321503{col 45}{space 1}    0.48{col 54}{space 3}0.630{col 62}{space 4}-.7868822{col 75}{space 3} 1.299109
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} .8537511{col 34}{space 2} .5319349{col 45}{space 1}    1.60{col 54}{space 3}0.108{col 62}{space 4}-.1888222{col 75}{space 3} 1.896324
{txt}{space 15}1995  {c |}{col 22}{res}{space 2}-.4654153{col 34}{space 2}  .429106{col 45}{space 1}   -1.08{col 54}{space 3}0.278{col 62}{space 4}-1.306448{col 75}{space 3} .3756169
{txt}{space 15}1996  {c |}{col 22}{res}{space 2}-.9063321{col 34}{space 2} .5693579{col 45}{space 1}   -1.59{col 54}{space 3}0.111{col 62}{space 4}-2.022253{col 75}{space 3} .2095889
{txt}{space 15}1997  {c |}{col 22}{res}{space 2}-.2329376{col 34}{space 2} .4699742{col 45}{space 1}   -0.50{col 54}{space 3}0.620{col 62}{space 4} -1.15407{col 75}{space 3} .6881949
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} .3844825{col 34}{space 2} .5646492{col 45}{space 1}    0.68{col 54}{space 3}0.496{col 62}{space 4}-.7222095{col 75}{space 3} 1.491174
{txt}{space 15}1999  {c |}{col 22}{res}{space 2}-.3930959{col 34}{space 2} .5404257{col 45}{space 1}   -0.73{col 54}{space 3}0.467{col 62}{space 4}-1.452311{col 75}{space 3} .6661189
{txt}{space 15}2000  {c |}{col 22}{res}{space 2}-.9833418{col 34}{space 2} .5399674{col 45}{space 1}   -1.82{col 54}{space 3}0.069{col 62}{space 4}-2.041658{col 75}{space 3} .0749749
{txt}{space 15}2001  {c |}{col 22}{res}{space 2}-.2956344{col 34}{space 2} .5311821{col 45}{space 1}   -0.56{col 54}{space 3}0.578{col 62}{space 4}-1.336732{col 75}{space 3} .7454633
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} -.572032{col 34}{space 2} .5195358{col 45}{space 1}   -1.10{col 54}{space 3}0.271{col 62}{space 4}-1.590303{col 75}{space 3} .4462394
{txt}{space 15}2003  {c |}{col 22}{res}{space 2}-.1865279{col 34}{space 2} .5637888{col 45}{space 1}   -0.33{col 54}{space 3}0.741{col 62}{space 4}-1.291534{col 75}{space 3} .9184779
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} .5150705{col 34}{space 2} .6260272{col 45}{space 1}    0.82{col 54}{space 3}0.411{col 62}{space 4}-.7119203{col 75}{space 3} 1.742061
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} .0061243{col 34}{space 2}  .611168{col 45}{space 1}    0.01{col 54}{space 3}0.992{col 62}{space 4}-1.191743{col 75}{space 3} 1.203992
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} .4727803{col 34}{space 2} .6570006{col 45}{space 1}    0.72{col 54}{space 3}0.472{col 62}{space 4}-.8149172{col 75}{space 3} 1.760478
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} .1913076{col 34}{space 2} .7212847{col 45}{space 1}    0.27{col 54}{space 3}0.791{col 62}{space 4}-1.222384{col 75}{space 3}    1.605
{txt}{space 15}2008  {c |}{col 22}{res}{space 2}-.3538886{col 34}{space 2} .6544663{col 45}{space 1}   -0.54{col 54}{space 3}0.589{col 62}{space 4}-1.636619{col 75}{space 3} .9288417
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} .0526107{col 34}{space 2} .7393932{col 45}{space 1}    0.07{col 54}{space 3}0.943{col 62}{space 4}-1.396573{col 75}{space 3} 1.501795
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .6725798{col 34}{space 2} .6156155{col 45}{space 1}    1.09{col 54}{space 3}0.275{col 62}{space 4}-.5340043{col 75}{space 3} 1.879164
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} .5200951{col 34}{space 2} .6883424{col 45}{space 1}    0.76{col 54}{space 3}0.450{col 62}{space 4}-.8290312{col 75}{space 3} 1.869221
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 1.380683{col 34}{space 2} 1.024251{col 45}{space 1}    1.35{col 54}{space 3}0.178{col 62}{space 4}-.6268114{col 75}{space 3} 3.388177
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            /lnsig_1 {c |}{col 22}{res}{space 2} .7340402{col 34}{space 2} .0553269{col 45}{space 1}   13.27{col 54}{space 3}0.000{col 62}{space 4} .6256016{col 75}{space 3} .8424789
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               sig_1 {c |}{col 22}{res}{space 2} 2.083481{col 34}{space 2} .1152725{col 62}{space 4}  1.86937{col 75}{space 3} 2.322116
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store cmp1  
{txt}
{com}. ****
.  cmp  (mutinydum=l.troops l.nonUN l.ln_milexsoldierconst l.coupproofing  l.lncgdp  l.polity l.durable  l.lnpop l.allPKOreceive l.coupattdum mutinypy i.year ) if simult==0 , cluster(cowcode) ind($cmp_probit) 
{res}
Fitting individual models as starting point for full model fit.
Note: For programming reasons, these initial estimates may deviate from your specification.
      For exact fits of each equation alone, run cmp separately on each.

{txt}Iteration 0:{space 3}log likelihood = {res:-206.13192}  
Iteration 1:{space 3}log likelihood = {res:-172.69296}  
Iteration 2:{space 3}log likelihood = {res:-169.10124}  
Iteration 3:{space 3}log likelihood = {res:-169.02296}  
Iteration 4:{space 3}log likelihood = {res:-169.02279}  
Iteration 5:{space 3}log likelihood = {res:-169.02279}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}       744
{txt}{col 49}LR chi2({res}31{txt}){col 67}= {res}     74.22
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-169.02279{txt}{col 49}Pseudo R2{col 67}= {res}    0.1800

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-8.56e-06{col 34}{space 2} .0001617{col 45}{space 1}   -0.05{col 54}{space 3}0.958{col 62}{space 4}-.0003255{col 75}{space 3} .0003084
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0001516{col 34}{space 2} .0000743{col 45}{space 1}    2.04{col 54}{space 3}0.041{col 62}{space 4} 5.98e-06{col 75}{space 3} .0002972
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0247508{col 34}{space 2} .0329815{col 45}{space 1}    0.75{col 54}{space 3}0.453{col 62}{space 4}-.0398918{col 75}{space 3} .0893933
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .3902841{col 34}{space 2} .1178632{col 45}{space 1}    3.31{col 54}{space 3}0.001{col 62}{space 4} .1592764{col 75}{space 3} .6212919
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.3062219{col 34}{space 2} .1104667{col 45}{space 1}   -2.77{col 54}{space 3}0.006{col 62}{space 4}-.5227326{col 75}{space 3}-.0897112
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0053198{col 34}{space 2} .0173242{col 45}{space 1}    0.31{col 54}{space 3}0.759{col 62}{space 4}-.0286349{col 75}{space 3} .0392745
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0013722{col 34}{space 2}  .009062{col 45}{space 1}   -0.15{col 54}{space 3}0.880{col 62}{space 4}-.0191334{col 75}{space 3}  .016389
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0166268{col 34}{space 2} .0866525{col 45}{space 1}    0.19{col 54}{space 3}0.848{col 62}{space 4} -.153209{col 75}{space 3} .1864627
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0000366{col 34}{space 2} .0000312{col 45}{space 1}    1.17{col 54}{space 3}0.240{col 62}{space 4}-.0000245{col 75}{space 3} .0000977
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .408804{col 34}{space 2} .3436042{col 45}{space 1}    1.19{col 54}{space 3}0.234{col 62}{space 4}-.2646479{col 75}{space 3} 1.082256
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2}-.0635796{col 34}{space 2} .0179289{col 45}{space 1}   -3.55{col 54}{space 3}0.000{col 62}{space 4}-.0987197{col 75}{space 3}-.0284396
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} .7871624{col 34}{space 2} .5535138{col 45}{space 1}    1.42{col 54}{space 3}0.155{col 62}{space 4}-.2977048{col 75}{space 3}  1.87203
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} .9286457{col 34}{space 2} .5665961{col 45}{space 1}    1.64{col 54}{space 3}0.101{col 62}{space 4}-.1818622{col 75}{space 3} 2.039154
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} .7270285{col 34}{space 2} .5676846{col 45}{space 1}    1.28{col 54}{space 3}0.200{col 62}{space 4}-.3856129{col 75}{space 3}  1.83967
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} .6361164{col 34}{space 2} .5715411{col 45}{space 1}    1.11{col 54}{space 3}0.266{col 62}{space 4}-.4840836{col 75}{space 3} 1.756316
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} .4052484{col 34}{space 2} .6124049{col 45}{space 1}    0.66{col 54}{space 3}0.508{col 62}{space 4}-.7950431{col 75}{space 3}  1.60554
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} .9364715{col 34}{space 2} .5706328{col 45}{space 1}    1.64{col 54}{space 3}0.101{col 62}{space 4}-.1819482{col 75}{space 3} 2.054891
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} .8108853{col 34}{space 2} .5868093{col 45}{space 1}    1.38{col 54}{space 3}0.167{col 62}{space 4}-.3392397{col 75}{space 3}  1.96101
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 1.222759{col 34}{space 2} .5592579{col 45}{space 1}    2.19{col 54}{space 3}0.029{col 62}{space 4}  .126634{col 75}{space 3} 2.318885
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} .7758513{col 34}{space 2} .5992037{col 45}{space 1}    1.29{col 54}{space 3}0.195{col 62}{space 4}-.3985665{col 75}{space 3} 1.950269
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} .6052922{col 34}{space 2} .6179158{col 45}{space 1}    0.98{col 54}{space 3}0.327{col 62}{space 4}-.6058006{col 75}{space 3} 1.816385
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} .1565047{col 34}{space 2}  .714573{col 45}{space 1}    0.22{col 54}{space 3}0.827{col 62}{space 4}-1.244033{col 75}{space 3} 1.557042
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .2820225{col 34}{space 2} .7194758{col 45}{space 1}    0.39{col 54}{space 3}0.695{col 62}{space 4}-1.128124{col 75}{space 3} 1.692169
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 1.044038{col 34}{space 2} .5995646{col 45}{space 1}    1.74{col 54}{space 3}0.082{col 62}{space 4}-.1310871{col 75}{space 3} 2.219163
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} .9542101{col 34}{space 2} .5966403{col 45}{space 1}    1.60{col 54}{space 3}0.110{col 62}{space 4}-.2151835{col 75}{space 3} 2.123604
{txt}{space 15}2006  {c |}{col 22}{res}{space 2}  .933559{col 34}{space 2} .6154213{col 45}{space 1}    1.52{col 54}{space 3}0.129{col 62}{space 4}-.2726447{col 75}{space 3} 2.139763
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 1.195593{col 34}{space 2}  .601106{col 45}{space 1}    1.99{col 54}{space 3}0.047{col 62}{space 4} .0174471{col 75}{space 3} 2.373739
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} .8375354{col 34}{space 2} .6232091{col 45}{space 1}    1.34{col 54}{space 3}0.179{col 62}{space 4} -.383932{col 75}{space 3} 2.059003
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 1.176064{col 34}{space 2}   .61383{col 45}{space 1}    1.92{col 54}{space 3}0.055{col 62}{space 4}-.0270209{col 75}{space 3} 2.379149
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .2858391{col 34}{space 2} .7413359{col 45}{space 1}    0.39{col 54}{space 3}0.700{col 62}{space 4}-1.167152{col 75}{space 3} 1.738831
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} .8466855{col 34}{space 2} .6512454{col 45}{space 1}    1.30{col 54}{space 3}0.194{col 62}{space 4}-.4297321{col 75}{space 3} 2.123103
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.8646854{col 34}{space 2} 1.096051{col 45}{space 1}   -0.79{col 54}{space 3}0.430{col 62}{space 4}-3.012907{col 75}{space 3} 1.283536
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
Warning: regressor matrix for {txt}mutinydum{res} equation appears ill-conditioned. (Condition number = 318.10303.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a {opt nrtol:erance(#)} or {opt nonrtol:erance} option to the command line.
See {help cmp##tips:cmp tips}.

Fitting full model.

{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-169.02279}  
{res}{txt}Iteration 1:{space 3}log pseudolikelihood = {res:-169.02279}  
{res}
{txt}Mixed-process regression{col 49}Number of obs{col 67}= {res}       744
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}   1640.32
{txt}Log pseudolikelihood = {res}-169.02279{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}mutinydum            {txt}{c |}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-8.56e-06{col 34}{space 2} .0000937{col 45}{space 1}   -0.09{col 54}{space 3}0.927{col 62}{space 4}-.0001923{col 75}{space 3} .0001752
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0001516{col 34}{space 2} .0000289{col 45}{space 1}    5.24{col 54}{space 3}0.000{col 62}{space 4} .0000949{col 75}{space 3} .0002083
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0247508{col 34}{space 2} .0137629{col 45}{space 1}    1.80{col 54}{space 3}0.072{col 62}{space 4}-.0022241{col 75}{space 3} .0517256
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .3902841{col 34}{space 2} .1449823{col 45}{space 1}    2.69{col 54}{space 3}0.007{col 62}{space 4} .1061241{col 75}{space 3} .6744442
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.3062219{col 34}{space 2} .1266622{col 45}{space 1}   -2.42{col 54}{space 3}0.016{col 62}{space 4}-.5544752{col 75}{space 3}-.0579686
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0053198{col 34}{space 2} .0195676{col 45}{space 1}    0.27{col 54}{space 3}0.786{col 62}{space 4} -.033032{col 75}{space 3} .0436716
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0013722{col 34}{space 2} .0072679{col 45}{space 1}   -0.19{col 54}{space 3}0.850{col 62}{space 4} -.015617{col 75}{space 3} .0128726
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0166268{col 34}{space 2} .0728301{col 45}{space 1}    0.23{col 54}{space 3}0.819{col 62}{space 4}-.1261175{col 75}{space 3} .1593712
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0000366{col 34}{space 2} .0000229{col 45}{space 1}    1.60{col 54}{space 3}0.109{col 62}{space 4}-8.19e-06{col 75}{space 3} .0000814
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .408804{col 34}{space 2} .3775976{col 45}{space 1}    1.08{col 54}{space 3}0.279{col 62}{space 4}-.3312737{col 75}{space 3} 1.148882
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2}-.0635796{col 34}{space 2} .0190702{col 45}{space 1}   -3.33{col 54}{space 3}0.001{col 62}{space 4}-.1009566{col 75}{space 3}-.0262026
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} .7871624{col 34}{space 2}  .473124{col 45}{space 1}    1.66{col 54}{space 3}0.096{col 62}{space 4}-.1401437{col 75}{space 3} 1.714468
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} .9286457{col 34}{space 2} .5936489{col 45}{space 1}    1.56{col 54}{space 3}0.118{col 62}{space 4}-.2348848{col 75}{space 3} 2.092176
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} .7270285{col 34}{space 2} .5747602{col 45}{space 1}    1.26{col 54}{space 3}0.206{col 62}{space 4}-.3994808{col 75}{space 3} 1.853538
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} .6361164{col 34}{space 2} .5970491{col 45}{space 1}    1.07{col 54}{space 3}0.287{col 62}{space 4}-.5340784{col 75}{space 3} 1.806311
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} .4052484{col 34}{space 2}  .641171{col 45}{space 1}    0.63{col 54}{space 3}0.527{col 62}{space 4}-.8514236{col 75}{space 3}  1.66192
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} .9364715{col 34}{space 2} .5679087{col 45}{space 1}    1.65{col 54}{space 3}0.099{col 62}{space 4}-.1766091{col 75}{space 3} 2.049552
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} .8108853{col 34}{space 2}  .606812{col 45}{space 1}    1.34{col 54}{space 3}0.181{col 62}{space 4}-.3784444{col 75}{space 3} 2.000215
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 1.222759{col 34}{space 2} .6046145{col 45}{space 1}    2.02{col 54}{space 3}0.043{col 62}{space 4} .0377367{col 75}{space 3} 2.407782
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} .7758513{col 34}{space 2} .6261709{col 45}{space 1}    1.24{col 54}{space 3}0.215{col 62}{space 4}-.4514211{col 75}{space 3} 2.003124
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} .6052922{col 34}{space 2} .6308095{col 45}{space 1}    0.96{col 54}{space 3}0.337{col 62}{space 4}-.6310718{col 75}{space 3} 1.841656
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} .1565047{col 34}{space 2} .7270935{col 45}{space 1}    0.22{col 54}{space 3}0.830{col 62}{space 4}-1.268572{col 75}{space 3} 1.581582
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .2820225{col 34}{space 2} .7344207{col 45}{space 1}    0.38{col 54}{space 3}0.701{col 62}{space 4}-1.157416{col 75}{space 3} 1.721461
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 1.044038{col 34}{space 2} .6455415{col 45}{space 1}    1.62{col 54}{space 3}0.106{col 62}{space 4}-.2212002{col 75}{space 3} 2.309276
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} .9542101{col 34}{space 2} .6250096{col 45}{space 1}    1.53{col 54}{space 3}0.127{col 62}{space 4}-.2707862{col 75}{space 3} 2.179206
{txt}{space 15}2006  {c |}{col 22}{res}{space 2}  .933559{col 34}{space 2} .6571404{col 45}{space 1}    1.42{col 54}{space 3}0.155{col 62}{space 4}-.3544126{col 75}{space 3} 2.221531
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 1.195593{col 34}{space 2} .6343293{col 45}{space 1}    1.88{col 54}{space 3}0.059{col 62}{space 4}-.0476693{col 75}{space 3} 2.438856
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} .8375354{col 34}{space 2}   .63763{col 45}{space 1}    1.31{col 54}{space 3}0.189{col 62}{space 4}-.4121964{col 75}{space 3} 2.087267
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 1.176064{col 34}{space 2} .6621476{col 45}{space 1}    1.78{col 54}{space 3}0.076{col 62}{space 4}-.1217217{col 75}{space 3} 2.473849
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .2858391{col 34}{space 2} .7228243{col 45}{space 1}    0.40{col 54}{space 3}0.693{col 62}{space 4} -1.13087{col 75}{space 3} 1.702549
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} .8466855{col 34}{space 2} .7080449{col 45}{space 1}    1.20{col 54}{space 3}0.232{col 62}{space 4}-.5410571{col 75}{space 3} 2.234428
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.8646854{col 34}{space 2} 1.257703{col 45}{space 1}   -0.69{col 54}{space 3}0.492{col 62}{space 4}-3.329739{col 75}{space 3} 1.600368
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store cmp2
{txt}
{com}. esttab cmp1 cmp2 using "Tab2.rtf", drop (_cons *.year) mtitles("(1) DV=PK contributions" "(2) DV=Mutiny") order(*.troops  *.nonUN )  obslast stats(aic bic) se star(+ 0.10 * 0.05 ** 0.01) nocon title(Table 2: Country-year CMP regression of mutiny, 1990-2011) nonumbers label  b(%10.5f)  nonotes addnotes("Standard errors clustered on country in parentheses." "+ p<.1 *<.05 **<.01") replace 
{res}{txt}(output written to {browse  `"Tab2.rtf"'})

{com}. 
. **********
. *APPENDIX*
. **********
. 
. *APPENDIX A1, descriptive statistics for country-year data*
. use "SPD_countryyear.dta", clear
{txt}
{com}. estpost sum mutinydum allPKO troops troops3yr troops100 lntroops total nonUN nonUN3yr nonUN100 lnnonUN ln_milexsoldierconst coupproofing polity durable lnpop lncgdp allPKOreceive coupattdum mutinypy simult dwyer loyal unmatch allPKOdum

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:mutinydum}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:  .075592}}}{space 1}{space 1}{ralign 9:{res:{sf: .0699415}}}{space 1}{space 1}{ralign 9:{res:{sf: .2644646}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       83}}}{space 1}
{space 0}{space 0}{ralign 12:allPKO}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf: 355.6311}}}{space 1}{space 1}{ralign 9:{res:{sf:  1290484}}}{space 1}{space 1}{ralign 9:{res:{sf: 1135.995}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:    14000}}}{space 1}{space 1}{ralign 9:{res:{sf:   390483}}}{space 1}
{space 0}{space 0}{ralign 12:troops}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf: 206.2477}}}{space 1}{space 1}{ralign 9:{res:{sf:   376394}}}{space 1}{space 1}{ralign 9:{res:{sf: 613.5096}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 4984.667}}}{space 1}{space 1}{ralign 9:{res:{sf:   226460}}}{space 1}
{space 0}{space 0}{ralign 12:troops3yr}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      947}}}{space 1}{space 1}{ralign 9:{res:{sf:      947}}}{space 1}{space 1}{ralign 9:{res:{sf: 560.3236}}}{space 1}{space 1}{ralign 9:{res:{sf:  2571182}}}{space 1}{space 1}{ralign 9:{res:{sf: 1603.491}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 14536.25}}}{space 1}{space 1}{ralign 9:{res:{sf: 530626.4}}}{space 1}
{space 0}{space 0}{ralign 12:troops100}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf: 203.9626}}}{space 1}{space 1}{ralign 9:{res:{sf: 377190.7}}}{space 1}{space 1}{ralign 9:{res:{sf: 614.1585}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 4984.667}}}{space 1}{space 1}{ralign 9:{res:{sf: 223950.9}}}{space 1}
{space 0}{space 0}{ralign 12:lntroops}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.317985}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.131369}}}{space 1}{space 1}{ralign 9:{res:{sf:  2.47616}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 8.514309}}}{space 1}{space 1}{ralign 9:{res:{sf: 1447.147}}}{space 1}
{space 0}{space 0}{ralign 12:total}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:  226.944}}}{space 1}{space 1}{ralign 9:{res:{sf: 435090.9}}}{space 1}{space 1}{ralign 9:{res:{sf: 659.6142}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:  5913.75}}}{space 1}{space 1}{ralign 9:{res:{sf: 249184.5}}}{space 1}
{space 0}{space 0}{ralign 12:nonUN}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf: 149.3834}}}{space 1}{space 1}{ralign 9:{res:{sf: 850810.7}}}{space 1}{space 1}{ralign 9:{res:{sf:  922.394}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:    14000}}}{space 1}{space 1}{ralign 9:{res:{sf:   164023}}}{space 1}
{space 0}{space 0}{ralign 12:nonUN3yr}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      947}}}{space 1}{space 1}{ralign 9:{res:{sf:      947}}}{space 1}{space 1}{ralign 9:{res:{sf: 459.5417}}}{space 1}{space 1}{ralign 9:{res:{sf:  6693684}}}{space 1}{space 1}{ralign 9:{res:{sf: 2587.215}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:    37000}}}{space 1}{space 1}{ralign 9:{res:{sf:   435186}}}{space 1}
{space 0}{space 0}{ralign 12:nonUN100}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf: 41.11642}}}{space 1}{space 1}{ralign 9:{res:{sf: 59676.19}}}{space 1}{space 1}{ralign 9:{res:{sf: 244.2871}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 2736.333}}}{space 1}{space 1}{ralign 9:{res:{sf: 45145.83}}}{space 1}
{space 0}{space 0}{ralign 12:lnnonUN}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf: .7306263}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.928682}}}{space 1}{space 1}{ralign 9:{res:{sf:  1.98209}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 9.546884}}}{space 1}{space 1}{ralign 9:{res:{sf: 802.2276}}}{space 1}
{space 0}{space 0}{ralign 12:ln_milexso~t}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      878}}}{space 1}{space 1}{ralign 9:{res:{sf:      878}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.947508}}}{space 1}{space 1}{ralign 9:{res:{sf: 4.798522}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.190553}}}{space 1}{space 1}{ralign 9:{res:{sf: .3289374}}}{space 1}{space 1}{ralign 9:{res:{sf: 26.27686}}}{space 1}{space 1}{ralign 9:{res:{sf: 2587.912}}}{space 1}
{space 0}{space 0}{ralign 12:coupproofing}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      998}}}{space 1}{space 1}{ralign 9:{res:{sf:      998}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.625506}}}{space 1}{space 1}{ralign 9:{res:{sf: .3723844}}}{space 1}{space 1}{ralign 9:{res:{sf:  .610233}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.497935}}}{space 1}{space 1}{ralign 9:{res:{sf: 1622.255}}}{space 1}
{space 0}{space 0}{ralign 12:polity}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1079}}}{space 1}{space 1}{ralign 9:{res:{sf:     1079}}}{space 1}{space 1}{ralign 9:{res:{sf: .1251158}}}{space 1}{space 1}{ralign 9:{res:{sf: 31.13183}}}{space 1}{space 1}{ralign 9:{res:{sf:  5.57959}}}{space 1}{space 1}{ralign 9:{res:{sf:      -10}}}{space 1}{space 1}{ralign 9:{res:{sf:       10}}}{space 1}{space 1}{ralign 9:{res:{sf:      135}}}{space 1}
{space 0}{space 0}{ralign 12:durable}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1080}}}{space 1}{space 1}{ralign 9:{res:{sf:     1080}}}{space 1}{space 1}{ralign 9:{res:{sf: 11.24167}}}{space 1}{space 1}{ralign 9:{res:{sf: 160.8285}}}{space 1}{space 1}{ralign 9:{res:{sf: 12.68182}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:       81}}}{space 1}{space 1}{ralign 9:{res:{sf:    12141}}}{space 1}
{space 0}{space 0}{ralign 12:lnpop}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1097}}}{space 1}{space 1}{ralign 9:{res:{sf:     1097}}}{space 1}{space 1}{ralign 9:{res:{sf:  8.83781}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.834384}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.354394}}}{space 1}{space 1}{ralign 9:{res:{sf: 5.832633}}}{space 1}{space 1}{ralign 9:{res:{sf: 12.00622}}}{space 1}{space 1}{ralign 9:{res:{sf: 9695.077}}}{space 1}
{space 0}{space 0}{ralign 12:lncgdp}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1045}}}{space 1}{space 1}{ralign 9:{res:{sf:     1045}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.556171}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.144603}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.069861}}}{space 1}{space 1}{ralign 9:{res:{sf: 4.256735}}}{space 1}{space 1}{ralign 9:{res:{sf:   9.6749}}}{space 1}{space 1}{ralign 9:{res:{sf: 6851.198}}}{space 1}
{space 0}{space 0}{ralign 12:allPKOrece~e}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf: 664.3479}}}{space 1}{space 1}{ralign 9:{res:{sf:  7924317}}}{space 1}{space 1}{ralign 9:{res:{sf: 2815.016}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 26262.67}}}{space 1}{space 1}{ralign 9:{res:{sf:   729454}}}{space 1}
{space 0}{space 0}{ralign 12:coupattdum}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf: .0300546}}}{space 1}{space 1}{ralign 9:{res:{sf: .0291779}}}{space 1}{space 1}{ralign 9:{res:{sf: .1708155}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       33}}}{space 1}
{space 0}{space 0}{ralign 12:mutinypy}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:  7.37796}}}{space 1}{space 1}{ralign 9:{res:{sf: 37.45136}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.119752}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:       21}}}{space 1}{space 1}{ralign 9:{res:{sf:     8101}}}{space 1}
{space 0}{space 0}{ralign 12:simult}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf: .0364299}}}{space 1}{space 1}{ralign 9:{res:{sf: .0351347}}}{space 1}{space 1}{ralign 9:{res:{sf: .1874426}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       40}}}{space 1}
{space 0}{space 0}{ralign 12:dwyer}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:  .420765}}}{space 1}{space 1}{ralign 9:{res:{sf:  .243944}}}{space 1}{space 1}{ralign 9:{res:{sf: .4939069}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      462}}}{space 1}
{space 0}{space 0}{ralign 12:loyal}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1100}}}{space 1}{space 1}{ralign 9:{res:{sf:     1100}}}{space 1}{space 1}{ralign 9:{res:{sf:      .42}}}{space 1}{space 1}{ralign 9:{res:{sf: .2438217}}}{space 1}{space 1}{ralign 9:{res:{sf:  .493783}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      462}}}{space 1}
{space 0}{space 0}{ralign 12:unmatch}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1144}}}{space 1}{space 1}{ralign 9:{res:{sf:     1144}}}{space 1}{space 1}{ralign 9:{res:{sf: .4038462}}}{space 1}{space 1}{ralign 9:{res:{sf: .2409651}}}{space 1}{space 1}{ralign 9:{res:{sf: .4908819}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      462}}}{space 1}
{space 0}{space 0}{ralign 12:allPKOdum}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}{space 1}{ralign 9:{res:{sf: .3806922}}}{space 1}{space 1}{ralign 9:{res:{sf: .2359806}}}{space 1}{space 1}{ralign 9:{res:{sf: .4857783}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      418}}}{space 1}

{com}. esttab using "TabA1.rtf", cell("mean (fmt(3)) sd(fmt(3)) min (fmt(3))  max (fmt(3))") star rtf label replace
{res}{txt}(note: file TabA1.rtf not found)
(output written to {browse  `"TabA1.rtf"'})

{com}. 
. *APPENDIX A2, ROBUSTNESS YEARLY MODELS*
. use "SPD_countryyear.dta", clear
{txt}
{com}. tsset cowcode year
{res}{txt}{col 8}panel variable:  {res}cowcode (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1960 to 2011
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. *TABLE A2*
. *Model A2.1, Only robust contributions*
. logit mutinydum l.troops100 l.nonUN100   l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive mutinypy i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-206.13192}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181.58613}  
Iteration 2:{space 3}log pseudolikelihood = {res:-172.38549}  
Iteration 3:{space 3}log pseudolikelihood = {res:-172.08385}  
Iteration 4:{space 3}log pseudolikelihood = {res:-172.08357}  
Iteration 5:{space 3}log pseudolikelihood = {res:-172.08357}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       744
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}   1279.72
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-172.08357{txt}{col 49}Pseudo R2{col 67}= {res}    0.1652

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}troops100 {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0001433{col 34}{space 2} .0001912{col 45}{space 1}   -0.75{col 54}{space 3}0.454{col 62}{space 4} -.000518{col 75}{space 3} .0002315
{txt}{space 20} {c |}
{space 12}nonUN100 {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .000648{col 34}{space 2} .0002759{col 45}{space 1}    2.35{col 54}{space 3}0.019{col 62}{space 4} .0001073{col 75}{space 3} .0011888
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .035727{col 34}{space 2} .0273847{col 45}{space 1}    1.30{col 54}{space 3}0.192{col 62}{space 4}-.0179461{col 75}{space 3}    .0894
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .677143{col 34}{space 2} .2788365{col 45}{space 1}    2.43{col 54}{space 3}0.015{col 62}{space 4} .1306335{col 75}{space 3} 1.223652
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0026473{col 34}{space 2} .0406204{col 45}{space 1}   -0.07{col 54}{space 3}0.948{col 62}{space 4}-.0822618{col 75}{space 3} .0769672
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0050635{col 34}{space 2}  .014188{col 45}{space 1}   -0.36{col 54}{space 3}0.721{col 62}{space 4}-.0328714{col 75}{space 3} .0227445
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0810919{col 34}{space 2} .1871034{col 45}{space 1}    0.43{col 54}{space 3}0.665{col 62}{space 4}-.2856241{col 75}{space 3} .4478079
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.5794052{col 34}{space 2} .2855411{col 45}{space 1}   -2.03{col 54}{space 3}0.042{col 62}{space 4}-1.139055{col 75}{space 3}-.0197549
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2} .0000626{col 34}{space 2} .0000405{col 45}{space 1}    1.55{col 54}{space 3}0.122{col 62}{space 4}-.0000168{col 75}{space 3}  .000142
{txt}{space 12}mutinypy {c |}{col 22}{res}{space 2}-.1167585{col 34}{space 2} .0380261{col 45}{space 1}   -3.07{col 54}{space 3}0.002{col 62}{space 4}-.1912883{col 75}{space 3}-.0422288
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.813167{col 34}{space 2} .9877853{col 45}{space 1}    1.84{col 54}{space 3}0.066{col 62}{space 4}-.1228562{col 75}{space 3} 3.749191
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 1.998197{col 34}{space 2} 1.268744{col 45}{space 1}    1.57{col 54}{space 3}0.115{col 62}{space 4}-.4884947{col 75}{space 3} 4.484889
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} 1.459695{col 34}{space 2} 1.261339{col 45}{space 1}    1.16{col 54}{space 3}0.247{col 62}{space 4}-1.012484{col 75}{space 3} 3.931874
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} 1.379435{col 34}{space 2} 1.326386{col 45}{space 1}    1.04{col 54}{space 3}0.298{col 62}{space 4}-1.220234{col 75}{space 3} 3.979103
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.100247{col 34}{space 2} 1.418333{col 45}{space 1}    0.78{col 54}{space 3}0.438{col 62}{space 4}-1.679634{col 75}{space 3} 3.880128
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 1.992333{col 34}{space 2} 1.264704{col 45}{space 1}    1.58{col 54}{space 3}0.115{col 62}{space 4} -.486441{col 75}{space 3} 4.471107
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.848152{col 34}{space 2} 1.318379{col 45}{space 1}    1.40{col 54}{space 3}0.161{col 62}{space 4}-.7358246{col 75}{space 3} 4.432128
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.483792{col 34}{space 2} 1.313601{col 45}{space 1}    1.89{col 54}{space 3}0.059{col 62}{space 4}-.0908188{col 75}{space 3} 5.058403
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.765513{col 34}{space 2} 1.337914{col 45}{space 1}    1.32{col 54}{space 3}0.187{col 62}{space 4} -.856751{col 75}{space 3} 4.387776
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} 1.343933{col 34}{space 2} 1.353029{col 45}{space 1}    0.99{col 54}{space 3}0.321{col 62}{space 4}-1.307954{col 75}{space 3}  3.99582
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} .6525159{col 34}{space 2} 1.587552{col 45}{space 1}    0.41{col 54}{space 3}0.681{col 62}{space 4} -2.45903{col 75}{space 3} 3.764061
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .8020604{col 34}{space 2} 1.660364{col 45}{space 1}    0.48{col 54}{space 3}0.629{col 62}{space 4}-2.452194{col 75}{space 3} 4.056315
{txt}{space 15}2004  {c |}{col 22}{res}{space 2}  1.81845{col 34}{space 2} 1.484222{col 45}{space 1}    1.23{col 54}{space 3}0.221{col 62}{space 4}-1.090573{col 75}{space 3} 4.727472
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.872317{col 34}{space 2} 1.371996{col 45}{space 1}    1.36{col 54}{space 3}0.172{col 62}{space 4}-.8167456{col 75}{space 3}  4.56138
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} 1.962317{col 34}{space 2} 1.400903{col 45}{space 1}    1.40{col 54}{space 3}0.161{col 62}{space 4}-.7834016{col 75}{space 3} 4.708036
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 2.415281{col 34}{space 2} 1.362631{col 45}{space 1}    1.77{col 54}{space 3}0.076{col 62}{space 4}-.2554262{col 75}{space 3} 5.085989
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.853415{col 34}{space 2} 1.338269{col 45}{space 1}    1.38{col 54}{space 3}0.166{col 62}{space 4} -.769544{col 75}{space 3} 4.476374
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 2.466141{col 34}{space 2} 1.429426{col 45}{space 1}    1.73{col 54}{space 3}0.084{col 62}{space 4}-.3354819{col 75}{space 3} 5.267763
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .7052827{col 34}{space 2} 1.601847{col 45}{space 1}    0.44{col 54}{space 3}0.660{col 62}{space 4} -2.43428{col 75}{space 3} 3.844846
{txt}{space 15}2011  {c |}{col 22}{res}{space 2}  1.89798{col 34}{space 2}  1.51225{col 45}{space 1}    1.26{col 54}{space 3}0.209{col 62}{space 4}-1.065975{col 75}{space 3} 4.861935
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.884924{col 34}{space 2} 2.962857{col 45}{space 1}   -0.64{col 54}{space 3}0.525{col 62}{space 4}-7.692017{col 75}{space 3} 3.922169
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a21
{txt}
{com}. *Model A2.2, add  dummy for West African countries*
. logit mutinydum l.troops l.nonUN   l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive l.coupattdum dwyer mutinypy i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-206.13192}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181.24634}  
Iteration 2:{space 3}log pseudolikelihood = {res:-169.98884}  
Iteration 3:{space 3}log pseudolikelihood = {res:-169.28044}  
Iteration 4:{space 3}log pseudolikelihood = {res:-169.24505}  
Iteration 5:{space 3}log pseudolikelihood = {res:-169.24505}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       744
{txt}{col 49}Wald chi2({res}32{txt}){col 67}= {res}   5152.76
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-169.24505{txt}{col 49}Pseudo R2{col 67}= {res}    0.1789

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0000818{col 34}{space 2} .0002216{col 45}{space 1}   -0.37{col 54}{space 3}0.712{col 62}{space 4}-.0005161{col 75}{space 3} .0003525
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0002328{col 34}{space 2} .0000627{col 45}{space 1}    3.72{col 54}{space 3}0.000{col 62}{space 4}   .00011{col 75}{space 3} .0003556
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0420313{col 34}{space 2} .0270685{col 45}{space 1}    1.55{col 54}{space 3}0.120{col 62}{space 4} -.011022{col 75}{space 3} .0950847
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .6067737{col 34}{space 2} .2736475{col 45}{space 1}    2.22{col 54}{space 3}0.027{col 62}{space 4} .0704344{col 75}{space 3} 1.143113
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0004791{col 34}{space 2} .0443444{col 45}{space 1}    0.01{col 54}{space 3}0.991{col 62}{space 4}-.0864344{col 75}{space 3} .0873927
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0021937{col 34}{space 2} .0150356{col 45}{space 1}   -0.15{col 54}{space 3}0.884{col 62}{space 4}-.0316629{col 75}{space 3} .0272755
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .092562{col 34}{space 2} .1897702{col 45}{space 1}    0.49{col 54}{space 3}0.626{col 62}{space 4}-.2793807{col 75}{space 3} .4645047
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.5653399{col 34}{space 2} .3213054{col 45}{space 1}   -1.76{col 54}{space 3}0.078{col 62}{space 4}-1.195087{col 75}{space 3}  .064407
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2}  .000051{col 34}{space 2} .0000446{col 45}{space 1}    1.14{col 54}{space 3}0.253{col 62}{space 4}-.0000364{col 75}{space 3} .0001384
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .6682581{col 34}{space 2} .7646038{col 45}{space 1}    0.87{col 54}{space 3}0.382{col 62}{space 4}-.8303378{col 75}{space 3} 2.166854
{txt}{space 20} {c |}
{space 15}dwyer {c |}{col 22}{res}{space 2} .4406884{col 34}{space 2} .3336764{col 45}{space 1}    1.32{col 54}{space 3}0.187{col 62}{space 4}-.2133054{col 75}{space 3} 1.094682
{txt}{space 12}mutinypy {c |}{col 22}{res}{space 2}-.1119944{col 34}{space 2} .0417226{col 45}{space 1}   -2.68{col 54}{space 3}0.007{col 62}{space 4}-.1937692{col 75}{space 3}-.0302196
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.780532{col 34}{space 2} 1.039981{col 45}{space 1}    1.71{col 54}{space 3}0.087{col 62}{space 4}-.2577933{col 75}{space 3} 3.818857
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 2.080247{col 34}{space 2} 1.269501{col 45}{space 1}    1.64{col 54}{space 3}0.101{col 62}{space 4}-.4079292{col 75}{space 3} 4.568424
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} 1.487248{col 34}{space 2} 1.265118{col 45}{space 1}    1.18{col 54}{space 3}0.240{col 62}{space 4}-.9923379{col 75}{space 3} 3.966833
{txt}{space 15}1995  {c |}{col 22}{res}{space 2}  1.43547{col 34}{space 2} 1.312562{col 45}{space 1}    1.09{col 54}{space 3}0.274{col 62}{space 4}-1.137104{col 75}{space 3} 4.008045
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.042283{col 34}{space 2}  1.40864{col 45}{space 1}    0.74{col 54}{space 3}0.459{col 62}{space 4}  -1.7186{col 75}{space 3} 3.803167
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 1.977682{col 34}{space 2} 1.240257{col 45}{space 1}    1.59{col 54}{space 3}0.111{col 62}{space 4}-.4531767{col 75}{space 3}  4.40854
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.725671{col 34}{space 2} 1.348684{col 45}{space 1}    1.28{col 54}{space 3}0.201{col 62}{space 4}-.9177007{col 75}{space 3} 4.369043
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.532787{col 34}{space 2} 1.303489{col 45}{space 1}    1.94{col 54}{space 3}0.052{col 62}{space 4}-.0220048{col 75}{space 3} 5.087579
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.668493{col 34}{space 2} 1.343564{col 45}{space 1}    1.24{col 54}{space 3}0.214{col 62}{space 4}-.9648446{col 75}{space 3}  4.30183
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} 1.257832{col 34}{space 2} 1.389337{col 45}{space 1}    0.91{col 54}{space 3}0.365{col 62}{space 4}-1.465219{col 75}{space 3} 3.980882
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} .5300862{col 34}{space 2} 1.645129{col 45}{space 1}    0.32{col 54}{space 3}0.747{col 62}{space 4}-2.694307{col 75}{space 3} 3.754479
{txt}{space 15}2003  {c |}{col 22}{res}{space 2}  .762989{col 34}{space 2} 1.622664{col 45}{space 1}    0.47{col 54}{space 3}0.638{col 62}{space 4}-2.417373{col 75}{space 3} 3.943351
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 1.947641{col 34}{space 2} 1.392207{col 45}{space 1}    1.40{col 54}{space 3}0.162{col 62}{space 4}-.7810345{col 75}{space 3} 4.676317
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.838761{col 34}{space 2} 1.381343{col 45}{space 1}    1.33{col 54}{space 3}0.183{col 62}{space 4}-.8686227{col 75}{space 3} 4.546144
{txt}{space 15}2006  {c |}{col 22}{res}{space 2}  2.02221{col 34}{space 2} 1.381449{col 45}{space 1}    1.46{col 54}{space 3}0.143{col 62}{space 4}-.6853799{col 75}{space 3} 4.729801
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 2.416643{col 34}{space 2}  1.33892{col 45}{space 1}    1.80{col 54}{space 3}0.071{col 62}{space 4} -.207592{col 75}{space 3} 5.040879
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.853774{col 34}{space 2} 1.353652{col 45}{space 1}    1.37{col 54}{space 3}0.171{col 62}{space 4}-.7993354{col 75}{space 3} 4.506883
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 2.429349{col 34}{space 2} 1.401164{col 45}{space 1}    1.73{col 54}{space 3}0.083{col 62}{space 4} -.316883{col 75}{space 3} 5.175581
{txt}{space 15}2010  {c |}{col 22}{res}{space 2}   .76151{col 34}{space 2} 1.606102{col 45}{space 1}    0.47{col 54}{space 3}0.635{col 62}{space 4}-2.386391{col 75}{space 3} 3.909411
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.716295{col 34}{space 2} 1.492479{col 45}{space 1}    1.15{col 54}{space 3}0.250{col 62}{space 4}-1.208909{col 75}{space 3}   4.6415
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-2.327197{col 34}{space 2} 3.138202{col 45}{space 1}   -0.74{col 54}{space 3}0.458{col 62}{space 4} -8.47796{col 75}{space 3} 3.823566
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a22
{txt}
{com}. *Model A2.3, include simultaneous countries with simultanous contributions and control for these contributions*
. *show the two obersvations with mutinies and making simultaneous contributions*
. list cowcode year country troops  nonUN mutinydum if simult==1&mutinydum==1
{txt}
      {c TLC}{hline 9}{c -}{hline 6}{c -}{hline 14}{c -}{hline 9}{c -}{hline 7}{c -}{hline 10}{c TRC}
      {c |} {res}cowcode   year        country    troops   nonUN   mutiny~m {txt}{c |}
      {c LT}{hline 9}{c -}{hline 6}{c -}{hline 14}{c -}{hline 9}{c -}{hline 7}{c -}{hline 10}{c RT}
2239. {c |} {res}    560   2008   South Africa   1760.08    1109          1 {txt}{c |}
2240. {c |} {res}    560   2009   South Africa   1870.42     488          1 {txt}{c |}
      {c BLC}{hline 9}{c -}{hline 6}{c -}{hline 14}{c -}{hline 9}{c -}{hline 7}{c -}{hline 10}{c BRC}

{com}. logit mutinydum l.troops l.nonUN   l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive l.coupattdum simult mutinypy i.year, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-214.16628}  
Iteration 1:{space 3}log pseudolikelihood = {res:-189.89528}  
Iteration 2:{space 3}log pseudolikelihood = {res:-179.96187}  
Iteration 3:{space 3}log pseudolikelihood = {res:-179.73045}  
Iteration 4:{space 3}log pseudolikelihood = {res:-179.73009}  
Iteration 5:{space 3}log pseudolikelihood = {res:-179.73009}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       782
{txt}{col 49}Wald chi2({res}32{txt}){col 67}= {res}   3571.69
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-179.73009{txt}{col 49}Pseudo R2{col 67}= {res}    0.1608

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0000236{col 34}{space 2} .0001895{col 45}{space 1}   -0.12{col 54}{space 3}0.901{col 62}{space 4}-.0003949{col 75}{space 3} .0003477
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .000157{col 34}{space 2} .0000907{col 45}{space 1}    1.73{col 54}{space 3}0.083{col 62}{space 4}-.0000208{col 75}{space 3} .0003347
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0513111{col 34}{space 2} .0271699{col 45}{space 1}    1.89{col 54}{space 3}0.059{col 62}{space 4}-.0019409{col 75}{space 3}  .104563
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .6409689{col 34}{space 2} .2737208{col 45}{space 1}    2.34{col 54}{space 3}0.019{col 62}{space 4}  .104486{col 75}{space 3} 1.177452
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0168627{col 34}{space 2} .0403516{col 45}{space 1}    0.42{col 54}{space 3}0.676{col 62}{space 4}-.0622251{col 75}{space 3} .0959504
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0004323{col 34}{space 2} .0135479{col 45}{space 1}    0.03{col 54}{space 3}0.975{col 62}{space 4} -.026121{col 75}{space 3} .0269856
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0664817{col 34}{space 2}  .160926{col 45}{space 1}    0.41{col 54}{space 3}0.680{col 62}{space 4}-.2489274{col 75}{space 3} .3818909
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.3878702{col 34}{space 2} .3344291{col 45}{space 1}   -1.16{col 54}{space 3}0.246{col 62}{space 4}-1.043339{col 75}{space 3} .2675989
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2} .0000656{col 34}{space 2} .0000398{col 45}{space 1}    1.65{col 54}{space 3}0.099{col 62}{space 4}-.0000124{col 75}{space 3} .0001436
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .8076888{col 34}{space 2} .7668901{col 45}{space 1}    1.05{col 54}{space 3}0.292{col 62}{space 4}-.6953881{col 75}{space 3} 2.310766
{txt}{space 20} {c |}
{space 14}simult {c |}{col 22}{res}{space 2}-.5873248{col 34}{space 2} 1.434437{col 45}{space 1}   -0.41{col 54}{space 3}0.682{col 62}{space 4} -3.39877{col 75}{space 3} 2.224121
{txt}{space 12}mutinypy {c |}{col 22}{res}{space 2}-.1286123{col 34}{space 2} .0379275{col 45}{space 1}   -3.39{col 54}{space 3}0.001{col 62}{space 4}-.2029488{col 75}{space 3}-.0542758
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.659218{col 34}{space 2} 1.041851{col 45}{space 1}    1.59{col 54}{space 3}0.111{col 62}{space 4}-.3827731{col 75}{space 3} 3.701209
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 1.944516{col 34}{space 2} 1.274157{col 45}{space 1}    1.53{col 54}{space 3}0.127{col 62}{space 4}-.5527849{col 75}{space 3} 4.441818
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} 1.374098{col 34}{space 2} 1.262305{col 45}{space 1}    1.09{col 54}{space 3}0.276{col 62}{space 4}-1.099975{col 75}{space 3}  3.84817
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} 1.397881{col 34}{space 2}   1.3069{col 45}{space 1}    1.07{col 54}{space 3}0.285{col 62}{space 4}-1.163596{col 75}{space 3} 3.959359
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.077766{col 34}{space 2} 1.403582{col 45}{space 1}    0.77{col 54}{space 3}0.443{col 62}{space 4}-1.673204{col 75}{space 3} 3.828736
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 2.013195{col 34}{space 2} 1.226561{col 45}{space 1}    1.64{col 54}{space 3}0.101{col 62}{space 4} -.390821{col 75}{space 3} 4.417211
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.830228{col 34}{space 2} 1.293263{col 45}{space 1}    1.42{col 54}{space 3}0.157{col 62}{space 4}-.7045211{col 75}{space 3} 4.364977
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.457341{col 34}{space 2} 1.311553{col 45}{space 1}    1.87{col 54}{space 3}0.061{col 62}{space 4}-.1132553{col 75}{space 3} 5.027936
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.786595{col 34}{space 2} 1.321936{col 45}{space 1}    1.35{col 54}{space 3}0.177{col 62}{space 4}-.8043516{col 75}{space 3} 4.377541
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} 1.263083{col 34}{space 2} 1.406512{col 45}{space 1}    0.90{col 54}{space 3}0.369{col 62}{space 4} -1.49363{col 75}{space 3} 4.019796
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} .5382675{col 34}{space 2} 1.621696{col 45}{space 1}    0.33{col 54}{space 3}0.740{col 62}{space 4}-2.640198{col 75}{space 3} 3.716733
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .7315115{col 34}{space 2} 1.619498{col 45}{space 1}    0.45{col 54}{space 3}0.651{col 62}{space 4}-2.442645{col 75}{space 3} 3.905668
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 2.012042{col 34}{space 2} 1.365956{col 45}{space 1}    1.47{col 54}{space 3}0.141{col 62}{space 4}-.6651812{col 75}{space 3} 4.689266
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.868655{col 34}{space 2} 1.352794{col 45}{space 1}    1.38{col 54}{space 3}0.167{col 62}{space 4}-.7827726{col 75}{space 3} 4.520082
{txt}{space 15}2006  {c |}{col 22}{res}{space 2}  1.99587{col 34}{space 2} 1.380393{col 45}{space 1}    1.45{col 54}{space 3}0.148{col 62}{space 4}-.7096504{col 75}{space 3}  4.70139
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 2.355102{col 34}{space 2} 1.345026{col 45}{space 1}    1.75{col 54}{space 3}0.080{col 62}{space 4}   -.2811{col 75}{space 3} 4.991304
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 2.272935{col 34}{space 2} 1.300784{col 45}{space 1}    1.75{col 54}{space 3}0.081{col 62}{space 4}-.2765549{col 75}{space 3} 4.822424
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 2.720298{col 34}{space 2} 1.340654{col 45}{space 1}    2.03{col 54}{space 3}0.042{col 62}{space 4}  .092665{col 75}{space 3} 5.347931
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .7987002{col 34}{space 2} 1.603695{col 45}{space 1}    0.50{col 54}{space 3}0.618{col 62}{space 4}-2.344485{col 75}{space 3} 3.941885
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.754364{col 34}{space 2} 1.494241{col 45}{space 1}    1.17{col 54}{space 3}0.240{col 62}{space 4}-1.174294{col 75}{space 3} 4.683022
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} -2.98882{col 34}{space 2} 3.187725{col 45}{space 1}   -0.94{col 54}{space 3}0.348{col 62}{space 4}-9.236646{col 75}{space 3} 3.259006
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a24
{txt}
{com}. *Model A2.4, fixed effects*
. xtlogit mutinydum l.troops l.nonUN   l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive l.coupattdum mutinypy i.year if simult==0 , fe
{txt}note: multiple positive outcomes within groups encountered.
note: 24 groups (370 obs) dropped because of all positive or
      all negative outcomes.
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-112.64276}  
Iteration 1:{space 3}log likelihood = {res:-109.26082}  
Iteration 2:{space 3}log likelihood = {res:-109.21269}  
Iteration 3:{space 3}log likelihood = {res:-109.21263}  
Iteration 4:{space 3}log likelihood = {res:-109.21263}  
{res}
{txt}Conditional fixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       374
{txt}Group variable: {res}cowcode{col 49}{txt}Number of groups{col 67}={col 69}{res}        22

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      17.0
{txt}{col 63}max{col 67}={col 69}{res}        21

{txt}{col 49}LR chi2({res}31{txt}){col 67}={col 70}{res}    30.48
{txt}Log likelihood  = {res}-109.21263{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.4927

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0000207{col 34}{space 2} .0005589{col 45}{space 1}   -0.04{col 54}{space 3}0.970{col 62}{space 4}-.0011162{col 75}{space 3} .0010748
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0000832{col 34}{space 2} .0002201{col 45}{space 1}    0.38{col 54}{space 3}0.706{col 62}{space 4}-.0003482{col 75}{space 3} .0005145
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0723085{col 34}{space 2} .1058105{col 45}{space 1}    0.68{col 54}{space 3}0.494{col 62}{space 4}-.1350763{col 75}{space 3} .2796933
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} 1.730664{col 34}{space 2} .6620926{col 45}{space 1}    2.61{col 54}{space 3}0.009{col 62}{space 4} .4329866{col 75}{space 3} 3.028342
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0420704{col 34}{space 2} .0560893{col 45}{space 1}   -0.75{col 54}{space 3}0.453{col 62}{space 4}-.1520033{col 75}{space 3} .0678625
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0349567{col 34}{space 2} .0216057{col 45}{space 1}   -1.62{col 54}{space 3}0.106{col 62}{space 4} -.077303{col 75}{space 3} .0073897
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} 7.707646{col 34}{space 2} 4.391875{col 45}{space 1}    1.75{col 54}{space 3}0.079{col 62}{space 4}-.9002709{col 75}{space 3} 16.31556
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-1.721192{col 34}{space 2} 1.465097{col 45}{space 1}   -1.17{col 54}{space 3}0.240{col 62}{space 4}-4.592729{col 75}{space 3} 1.150345
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2}  .000098{col 34}{space 2} .0000887{col 45}{space 1}    1.10{col 54}{space 3}0.269{col 62}{space 4}-.0000759{col 75}{space 3} .0002719
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .9425641{col 34}{space 2}  .719456{col 45}{space 1}    1.31{col 54}{space 3}0.190{col 62}{space 4}-.4675437{col 75}{space 3} 2.352672
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2} .0847682{col 34}{space 2} .0492581{col 45}{space 1}    1.72{col 54}{space 3}0.085{col 62}{space 4}-.0117759{col 75}{space 3} .1813123
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2}  1.50536{col 34}{space 2} 1.225212{col 45}{space 1}    1.23{col 54}{space 3}0.219{col 62}{space 4}-.8960107{col 75}{space 3}  3.90673
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 1.155165{col 34}{space 2} 1.293556{col 45}{space 1}    0.89{col 54}{space 3}0.372{col 62}{space 4}-1.380157{col 75}{space 3} 3.690488
{txt}{space 15}1994  {c |}{col 22}{res}{space 2}  .391923{col 34}{space 2} 1.359906{col 45}{space 1}    0.29{col 54}{space 3}0.773{col 62}{space 4}-2.273443{col 75}{space 3} 3.057289
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} .3127503{col 34}{space 2} 1.408372{col 45}{space 1}    0.22{col 54}{space 3}0.824{col 62}{space 4}-2.447608{col 75}{space 3} 3.073109
{txt}{space 15}1996  {c |}{col 22}{res}{space 2}-.5715051{col 34}{space 2} 1.490386{col 45}{space 1}   -0.38{col 54}{space 3}0.701{col 62}{space 4}-3.492608{col 75}{space 3} 2.349598
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} .1334689{col 34}{space 2} 1.455574{col 45}{space 1}    0.09{col 54}{space 3}0.927{col 62}{space 4}-2.719404{col 75}{space 3} 2.986342
{txt}{space 15}1998  {c |}{col 22}{res}{space 2}-.3257103{col 34}{space 2} 1.556657{col 45}{space 1}   -0.21{col 54}{space 3}0.834{col 62}{space 4}-3.376702{col 75}{space 3} 2.725281
{txt}{space 15}1999  {c |}{col 22}{res}{space 2}  .274732{col 34}{space 2} 1.570605{col 45}{space 1}    0.17{col 54}{space 3}0.861{col 62}{space 4}-2.803598{col 75}{space 3} 3.353062
{txt}{space 15}2000  {c |}{col 22}{res}{space 2}-.5893138{col 34}{space 2} 1.713171{col 45}{space 1}   -0.34{col 54}{space 3}0.731{col 62}{space 4}-3.947066{col 75}{space 3} 2.768439
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} -1.29398{col 34}{space 2} 1.814089{col 45}{space 1}   -0.71{col 54}{space 3}0.476{col 62}{space 4}-4.849529{col 75}{space 3} 2.261569
{txt}{space 15}2002  {c |}{col 22}{res}{space 2}-2.492478{col 34}{space 2} 2.040063{col 45}{space 1}   -1.22{col 54}{space 3}0.222{col 62}{space 4}-6.490928{col 75}{space 3} 1.505973
{txt}{space 15}2003  {c |}{col 22}{res}{space 2}-2.612155{col 34}{space 2} 2.150531{col 45}{space 1}   -1.21{col 54}{space 3}0.224{col 62}{space 4}-6.827119{col 75}{space 3} 1.602809
{txt}{space 15}2004  {c |}{col 22}{res}{space 2}-1.961135{col 34}{space 2} 2.072867{col 45}{space 1}   -0.95{col 54}{space 3}0.344{col 62}{space 4} -6.02388{col 75}{space 3} 2.101611
{txt}{space 15}2005  {c |}{col 22}{res}{space 2}-2.179033{col 34}{space 2} 2.148657{col 45}{space 1}   -1.01{col 54}{space 3}0.311{col 62}{space 4}-6.390323{col 75}{space 3} 2.032256
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} -2.20141{col 34}{space 2} 2.257782{col 45}{space 1}   -0.98{col 54}{space 3}0.330{col 62}{space 4}-6.626581{col 75}{space 3}  2.22376
{txt}{space 15}2007  {c |}{col 22}{res}{space 2}-1.767312{col 34}{space 2} 2.308644{col 45}{space 1}   -0.77{col 54}{space 3}0.444{col 62}{space 4}-6.292171{col 75}{space 3} 2.757547
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} -2.31996{col 34}{space 2} 2.413827{col 45}{space 1}   -0.96{col 54}{space 3}0.336{col 62}{space 4}-7.050974{col 75}{space 3} 2.411054
{txt}{space 15}2009  {c |}{col 22}{res}{space 2}-1.918284{col 34}{space 2} 2.520844{col 45}{space 1}   -0.76{col 54}{space 3}0.447{col 62}{space 4}-6.859048{col 75}{space 3} 3.022479
{txt}{space 15}2010  {c |}{col 22}{res}{space 2}-3.985224{col 34}{space 2} 2.818865{col 45}{space 1}   -1.41{col 54}{space 3}0.157{col 62}{space 4}-9.510098{col 75}{space 3}  1.53965
{txt}{space 15}2011  {c |}{col 22}{res}{space 2}-3.345505{col 34}{space 2} 2.834082{col 45}{space 1}   -1.18{col 54}{space 3}0.238{col 62}{space 4}-8.900204{col 75}{space 3} 2.209194
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a25
{txt}
{com}. esttab a21 a22 a24 a25  using "TabA2.rtf", mtitles("(A2.1) Robust contributions" "(A2.2) All UN" "(A2.3) Dwyer sample" "(A2.4) FE") obslast drop (*.year ) order(*.troops *.troops100  *.nonUN *.nonUN100) stats(aic bic) se star(+ 0.10 * 0.05 ** 0.01) nocon title(Table A2: Country-year logit regression of mutiny, 1990-2011) nonumbers label  b(%10.5f)  nonotes addnotes("Standard errors clustered on country in parentheses." "+ p<.1 *<.05 **<.01") replace 
{res}{txt}(note: file TabA2.rtf not found)
(output written to {browse  `"TabA2.rtf"'})

{com}. 
. *APPENDIX A3, ROBUSTNESS MONTHLY MODELS*
. *USE MONTHLY DATASET*
. use "SPD_countrymonth.dta", clear
{txt}
{com}. tsset cowcode ym
{res}{txt}{col 8}panel variable:  {res}cowcode (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}ym, 1990m1 to 2011m12
{txt}{col 17}delta:  {res}1 month
{txt}
{com}. *TABLE A3*
. *Model A3.1, UN and non-UN*
. logit mutiny_allmil l12.troops l12.nonUN l12.ln_milexsoldierconst l12.coupproofing  l12.lncgdp  l12.polity l12.durable  l12.lnpop l12.allPKOreceive l12.coupatt mutinyallpy i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-447.66846}  
Iteration 1:{space 3}log pseudolikelihood = {res:-412.36663}  
Iteration 2:{space 3}log pseudolikelihood = {res:-395.62956}  
Iteration 3:{space 3}log pseudolikelihood = {res:-394.07056}  
Iteration 4:{space 3}log pseudolikelihood = {res:-394.05949}  
Iteration 5:{space 3}log pseudolikelihood = {res:-394.05948}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     8,959
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}   1432.27
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-394.05948{txt}{col 49}Pseudo R2{col 67}= {res}    0.1198

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       mutiny_allmil{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0000729{col 34}{space 2} .0001816{col 45}{space 1}    0.40{col 54}{space 3}0.688{col 62}{space 4}-.0002829{col 75}{space 3} .0004288
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0002239{col 34}{space 2} .0000433{col 45}{space 1}    5.17{col 54}{space 3}0.000{col 62}{space 4} .0001391{col 75}{space 3} .0003087
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0449105{col 34}{space 2} .0195946{col 45}{space 1}    2.29{col 54}{space 3}0.022{col 62}{space 4} .0065057{col 75}{space 3} .0833154
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}  .638151{col 34}{space 2} .2018748{col 45}{space 1}    3.16{col 54}{space 3}0.002{col 62}{space 4} .2424837{col 75}{space 3} 1.033818
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.6914491{col 34}{space 2} .3068758{col 45}{space 1}   -2.25{col 54}{space 3}0.024{col 62}{space 4}-1.292915{col 75}{space 3}-.0899835
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.0272715{col 34}{space 2} .0384087{col 45}{space 1}   -0.71{col 54}{space 3}0.478{col 62}{space 4}-.1025512{col 75}{space 3} .0480083
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0028436{col 34}{space 2} .0133354{col 45}{space 1}    0.21{col 54}{space 3}0.831{col 62}{space 4}-.0232934{col 75}{space 3} .0289805
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.0828353{col 34}{space 2} .1482389{col 45}{space 1}   -0.56{col 54}{space 3}0.576{col 62}{space 4}-.3733783{col 75}{space 3} .2077076
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0001017{col 34}{space 2} .0000427{col 45}{space 1}    2.38{col 54}{space 3}0.017{col 62}{space 4}  .000018{col 75}{space 3} .0001855
{txt}{space 20} {c |}
{space 13}coupatt {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} 1.201769{col 34}{space 2} .9625616{col 45}{space 1}    1.25{col 54}{space 3}0.212{col 62}{space 4} -.684817{col 75}{space 3} 3.088355
{txt}{space 20} {c |}
{space 9}mutinyallpy {c |}{col 22}{res}{space 2} -.012434{col 34}{space 2} .0035991{col 45}{space 1}   -3.45{col 54}{space 3}0.001{col 62}{space 4}-.0194882{col 75}{space 3}-.0053798
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2}  1.15669{col 34}{space 2} 1.006332{col 45}{space 1}    1.15{col 54}{space 3}0.250{col 62}{space 4}-.8156842{col 75}{space 3} 3.129065
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 1.739262{col 34}{space 2} 1.203482{col 45}{space 1}    1.45{col 54}{space 3}0.148{col 62}{space 4}-.6195183{col 75}{space 3} 4.098043
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} 1.422313{col 34}{space 2} 1.245666{col 45}{space 1}    1.14{col 54}{space 3}0.254{col 62}{space 4}-1.019147{col 75}{space 3} 3.863774
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} .9372667{col 34}{space 2}   1.2082{col 45}{space 1}    0.78{col 54}{space 3}0.438{col 62}{space 4}-1.430761{col 75}{space 3} 3.305295
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.611672{col 34}{space 2} 1.311785{col 45}{space 1}    1.23{col 54}{space 3}0.219{col 62}{space 4}-.9593784{col 75}{space 3} 4.182722
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 1.479091{col 34}{space 2} 1.108697{col 45}{space 1}    1.33{col 54}{space 3}0.182{col 62}{space 4}-.6939145{col 75}{space 3} 3.652097
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.562074{col 34}{space 2} 1.193873{col 45}{space 1}    1.31{col 54}{space 3}0.191{col 62}{space 4}-.7778742{col 75}{space 3} 3.902021
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.093028{col 34}{space 2} 1.150098{col 45}{space 1}    1.82{col 54}{space 3}0.069{col 62}{space 4}-.1611224{col 75}{space 3} 4.347178
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.656347{col 34}{space 2}  1.17786{col 45}{space 1}    1.41{col 54}{space 3}0.160{col 62}{space 4} -.652217{col 75}{space 3} 3.964911
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} .9924103{col 34}{space 2} 1.258882{col 45}{space 1}    0.79{col 54}{space 3}0.431{col 62}{space 4}-1.474953{col 75}{space 3} 3.459773
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} 1.043774{col 34}{space 2} 1.538423{col 45}{space 1}    0.68{col 54}{space 3}0.497{col 62}{space 4} -1.97148{col 75}{space 3} 4.059028
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .5382392{col 34}{space 2} 1.477175{col 45}{space 1}    0.36{col 54}{space 3}0.716{col 62}{space 4}-2.356971{col 75}{space 3} 3.433449
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 1.540722{col 34}{space 2}  1.22898{col 45}{space 1}    1.25{col 54}{space 3}0.210{col 62}{space 4}-.8680344{col 75}{space 3} 3.949479
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.786456{col 34}{space 2} 1.261906{col 45}{space 1}    1.42{col 54}{space 3}0.157{col 62}{space 4} -.686834{col 75}{space 3} 4.259745
{txt}{space 15}2006  {c |}{col 22}{res}{space 2}  1.56117{col 34}{space 2} 1.199498{col 45}{space 1}    1.30{col 54}{space 3}0.193{col 62}{space 4}-.7898027{col 75}{space 3} 3.912143
{txt}{space 15}2007  {c |}{col 22}{res}{space 2}  1.68264{col 34}{space 2}  1.19235{col 45}{space 1}    1.41{col 54}{space 3}0.158{col 62}{space 4}-.6543234{col 75}{space 3} 4.019603
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.809059{col 34}{space 2} 1.197134{col 45}{space 1}    1.51{col 54}{space 3}0.131{col 62}{space 4}-.5372796{col 75}{space 3} 4.155398
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 1.496578{col 34}{space 2} 1.243314{col 45}{space 1}    1.20{col 54}{space 3}0.229{col 62}{space 4}-.9402732{col 75}{space 3} 3.933429
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .2397025{col 34}{space 2} 1.401476{col 45}{space 1}    0.17{col 54}{space 3}0.864{col 62}{space 4}-2.507139{col 75}{space 3} 2.986544
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.598702{col 34}{space 2} 1.380673{col 45}{space 1}    1.16{col 54}{space 3}0.247{col 62}{space 4}-1.107366{col 75}{space 3} 4.304771
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.743464{col 34}{space 2} 2.717152{col 45}{space 1}   -0.64{col 54}{space 3}0.521{col 62}{space 4}-7.068984{col 75}{space 3} 3.582057
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a31
{txt}
{com}. *Model A3.2, logged UN and non-UN PK*
. logit mutiny_allmil l12.lntroops l12.lnnonUN l12.ln_milexsoldierconst l12.coupproofing  l12.lncgdp  l12.polity l12.durable  l12.lnpop l12.allPKOreceive l12.coupatt mutinyallpy i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-447.66846}  
Iteration 1:{space 3}log pseudolikelihood = {res:-429.92594}  
Iteration 2:{space 3}log pseudolikelihood = {res:-397.01424}  
Iteration 3:{space 3}log pseudolikelihood = {res:-396.08559}  
Iteration 4:{space 3}log pseudolikelihood = {res:-396.07985}  
Iteration 5:{space 3}log pseudolikelihood = {res:-396.07985}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     8,959
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}   2488.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-396.07985{txt}{col 49}Pseudo R2{col 67}= {res}    0.1152

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       mutiny_allmil{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}lntroops {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.0525193{col 34}{space 2} .0494934{col 45}{space 1}   -1.06{col 54}{space 3}0.289{col 62}{space 4}-.1495245{col 75}{space 3} .0444859
{txt}{space 20} {c |}
{space 13}lnnonUN {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .1080025{col 34}{space 2} .0596614{col 45}{space 1}    1.81{col 54}{space 3}0.070{col 62}{space 4}-.0089317{col 75}{space 3} .2249368
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0434381{col 34}{space 2} .0186518{col 45}{space 1}    2.33{col 54}{space 3}0.020{col 62}{space 4} .0068813{col 75}{space 3} .0799949
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .5841709{col 34}{space 2} .2196094{col 45}{space 1}    2.66{col 54}{space 3}0.008{col 62}{space 4} .1537444{col 75}{space 3} 1.014597
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.6217603{col 34}{space 2} .2749087{col 45}{space 1}   -2.26{col 54}{space 3}0.024{col 62}{space 4}-1.160571{col 75}{space 3}-.0829492
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.0188962{col 34}{space 2} .0367257{col 45}{space 1}   -0.51{col 54}{space 3}0.607{col 62}{space 4}-.0908773{col 75}{space 3} .0530848
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0006533{col 34}{space 2} .0128388{col 45}{space 1}    0.05{col 54}{space 3}0.959{col 62}{space 4}-.0245102{col 75}{space 3} .0258168
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0289384{col 34}{space 2} .1525284{col 45}{space 1}    0.19{col 54}{space 3}0.850{col 62}{space 4}-.2700118{col 75}{space 3} .3278886
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0000825{col 34}{space 2}  .000047{col 45}{space 1}    1.75{col 54}{space 3}0.079{col 62}{space 4}-9.68e-06{col 75}{space 3} .0001747
{txt}{space 20} {c |}
{space 13}coupatt {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} 1.143205{col 34}{space 2} .9805104{col 45}{space 1}    1.17{col 54}{space 3}0.244{col 62}{space 4}-.7785602{col 75}{space 3}  3.06497
{txt}{space 20} {c |}
{space 9}mutinyallpy {c |}{col 22}{res}{space 2} -.011698{col 34}{space 2} .0035642{col 45}{space 1}   -3.28{col 54}{space 3}0.001{col 62}{space 4}-.0186837{col 75}{space 3}-.0047123
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.077042{col 34}{space 2} 1.000214{col 45}{space 1}    1.08{col 54}{space 3}0.282{col 62}{space 4}-.8833416{col 75}{space 3} 3.037426
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 1.678089{col 34}{space 2} 1.213406{col 45}{space 1}    1.38{col 54}{space 3}0.167{col 62}{space 4}-.7001423{col 75}{space 3} 4.056321
{txt}{space 15}1994  {c |}{col 22}{res}{space 2}  1.37018{col 34}{space 2} 1.262346{col 45}{space 1}    1.09{col 54}{space 3}0.278{col 62}{space 4}-1.103973{col 75}{space 3} 3.844333
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} .8578931{col 34}{space 2} 1.200658{col 45}{space 1}    0.71{col 54}{space 3}0.475{col 62}{space 4}-1.495354{col 75}{space 3}  3.21114
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.521666{col 34}{space 2} 1.321282{col 45}{space 1}    1.15{col 54}{space 3}0.249{col 62}{space 4}   -1.068{col 75}{space 3} 4.111331
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 1.364005{col 34}{space 2} 1.120573{col 45}{space 1}    1.22{col 54}{space 3}0.224{col 62}{space 4}-.8322785{col 75}{space 3} 3.560288
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.454354{col 34}{space 2} 1.170173{col 45}{space 1}    1.24{col 54}{space 3}0.214{col 62}{space 4}-.8391423{col 75}{space 3}  3.74785
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.135695{col 34}{space 2} 1.135971{col 45}{space 1}    1.88{col 54}{space 3}0.060{col 62}{space 4}-.0907685{col 75}{space 3} 4.362158
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.686224{col 34}{space 2} 1.161937{col 45}{space 1}    1.45{col 54}{space 3}0.147{col 62}{space 4}  -.59113{col 75}{space 3} 3.963578
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} .8968121{col 34}{space 2} 1.240454{col 45}{space 1}    0.72{col 54}{space 3}0.470{col 62}{space 4}-1.534433{col 75}{space 3} 3.328057
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} .9721898{col 34}{space 2} 1.528216{col 45}{space 1}    0.64{col 54}{space 3}0.525{col 62}{space 4}-2.023059{col 75}{space 3} 3.967439
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .4443405{col 34}{space 2}  1.48533{col 45}{space 1}    0.30{col 54}{space 3}0.765{col 62}{space 4}-2.466853{col 75}{space 3} 3.355534
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 1.423526{col 34}{space 2}  1.24023{col 45}{space 1}    1.15{col 54}{space 3}0.251{col 62}{space 4}-1.007279{col 75}{space 3} 3.854331
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.694071{col 34}{space 2} 1.251071{col 45}{space 1}    1.35{col 54}{space 3}0.176{col 62}{space 4}-.7579824{col 75}{space 3} 4.146124
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} 1.453957{col 34}{space 2} 1.209133{col 45}{space 1}    1.20{col 54}{space 3}0.229{col 62}{space 4}-.9158992{col 75}{space 3} 3.823813
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 1.518148{col 34}{space 2} 1.213505{col 45}{space 1}    1.25{col 54}{space 3}0.211{col 62}{space 4}-.8602779{col 75}{space 3} 3.896575
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.575017{col 34}{space 2}  1.25035{col 45}{space 1}    1.26{col 54}{space 3}0.208{col 62}{space 4}-.8756244{col 75}{space 3} 4.025658
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 1.415906{col 34}{space 2} 1.258269{col 45}{space 1}    1.13{col 54}{space 3}0.260{col 62}{space 4}-1.050256{col 75}{space 3} 3.882069
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .2145979{col 34}{space 2} 1.400954{col 45}{space 1}    0.15{col 54}{space 3}0.878{col 62}{space 4}-2.531222{col 75}{space 3} 2.960418
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.425927{col 34}{space 2} 1.459826{col 45}{space 1}    0.98{col 54}{space 3}0.329{col 62}{space 4} -1.43528{col 75}{space 3} 4.287134
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-2.980957{col 34}{space 2} 2.550988{col 45}{space 1}   -1.17{col 54}{space 3}0.243{col 62}{space 4}-7.980802{col 75}{space 3} 2.018888
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a32
{txt}
{com}. *Model A3.3,Short-term effect of UNPK contributions, 6 months*
. logit mutiny_allmil l6.troops l12.nonUN l12.ln_milexsoldierconst l12.coupproofing  l12.lncgdp  l12.polity l12.durable  l12.lnpop l12.allPKOreceive l12.coupatt mutinyallpy i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-447.66846}  
Iteration 1:{space 3}log pseudolikelihood = {res:-411.86438}  
Iteration 2:{space 3}log pseudolikelihood = {res:-394.74638}  
Iteration 3:{space 3}log pseudolikelihood = {res:-393.11552}  
Iteration 4:{space 3}log pseudolikelihood = {res:-393.10379}  
Iteration 5:{space 3}log pseudolikelihood = {res:-393.10379}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     8,959
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}   2831.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-393.10379{txt}{col 49}Pseudo R2{col 67}= {res}    0.1219

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       mutiny_allmil{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L6. {c |}{col 22}{res}{space 2} .0003019{col 34}{space 2} .0001607{col 45}{space 1}    1.88{col 54}{space 3}0.060{col 62}{space 4}-.0000131{col 75}{space 3} .0006168
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0002226{col 34}{space 2} .0000385{col 45}{space 1}    5.78{col 54}{space 3}0.000{col 62}{space 4} .0001471{col 75}{space 3} .0002981
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0483443{col 34}{space 2} .0203836{col 45}{space 1}    2.37{col 54}{space 3}0.018{col 62}{space 4} .0083931{col 75}{space 3} .0882955
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .6727589{col 34}{space 2} .2045492{col 45}{space 1}    3.29{col 54}{space 3}0.001{col 62}{space 4} .2718499{col 75}{space 3} 1.073668
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.7452529{col 34}{space 2} .3275879{col 45}{space 1}   -2.27{col 54}{space 3}0.023{col 62}{space 4}-1.387313{col 75}{space 3}-.1031924
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.0327621{col 34}{space 2} .0382208{col 45}{space 1}   -0.86{col 54}{space 3}0.391{col 62}{space 4}-.1076734{col 75}{space 3} .0421492
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0026504{col 34}{space 2}  .013594{col 45}{space 1}    0.19{col 54}{space 3}0.845{col 62}{space 4}-.0239934{col 75}{space 3} .0292942
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} -.142173{col 34}{space 2} .1463307{col 45}{space 1}   -0.97{col 54}{space 3}0.331{col 62}{space 4}-.4289758{col 75}{space 3} .1446299
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}  .000114{col 34}{space 2}  .000042{col 45}{space 1}    2.71{col 54}{space 3}0.007{col 62}{space 4} .0000316{col 75}{space 3} .0001964
{txt}{space 20} {c |}
{space 13}coupatt {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} 1.214795{col 34}{space 2} .9593381{col 45}{space 1}    1.27{col 54}{space 3}0.205{col 62}{space 4}-.6654736{col 75}{space 3} 3.095063
{txt}{space 20} {c |}
{space 9}mutinyallpy {c |}{col 22}{res}{space 2}-.0122247{col 34}{space 2}   .00353{col 45}{space 1}   -3.46{col 54}{space 3}0.001{col 62}{space 4}-.0191434{col 75}{space 3}-.0053059
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.175303{col 34}{space 2} 1.009832{col 45}{space 1}    1.16{col 54}{space 3}0.244{col 62}{space 4}-.8039322{col 75}{space 3} 3.154538
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 1.751228{col 34}{space 2} 1.204294{col 45}{space 1}    1.45{col 54}{space 3}0.146{col 62}{space 4}-.6091456{col 75}{space 3} 4.111602
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} 1.430413{col 34}{space 2} 1.241308{col 45}{space 1}    1.15{col 54}{space 3}0.249{col 62}{space 4}-1.002507{col 75}{space 3} 3.863332
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} .9316922{col 34}{space 2} 1.210416{col 45}{space 1}    0.77{col 54}{space 3}0.441{col 62}{space 4}-1.440679{col 75}{space 3} 3.304064
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.645194{col 34}{space 2} 1.315413{col 45}{space 1}    1.25{col 54}{space 3}0.211{col 62}{space 4} -.932969{col 75}{space 3} 4.223357
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 1.509632{col 34}{space 2} 1.107784{col 45}{space 1}    1.36{col 54}{space 3}0.173{col 62}{space 4}-.6615849{col 75}{space 3} 3.680848
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.606423{col 34}{space 2} 1.187181{col 45}{space 1}    1.35{col 54}{space 3}0.176{col 62}{space 4}-.7204092{col 75}{space 3} 3.933255
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.143308{col 34}{space 2} 1.146462{col 45}{space 1}    1.87{col 54}{space 3}0.062{col 62}{space 4}-.1037158{col 75}{space 3} 4.390332
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.625517{col 34}{space 2} 1.181553{col 45}{space 1}    1.38{col 54}{space 3}0.169{col 62}{space 4} -.690284{col 75}{space 3} 3.941318
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} 1.001682{col 34}{space 2} 1.264966{col 45}{space 1}    0.79{col 54}{space 3}0.428{col 62}{space 4}-1.477606{col 75}{space 3} 3.480971
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} 1.020856{col 34}{space 2} 1.547259{col 45}{space 1}    0.66{col 54}{space 3}0.509{col 62}{space 4}-2.011716{col 75}{space 3} 4.053428
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .5597416{col 34}{space 2} 1.484737{col 45}{space 1}    0.38{col 54}{space 3}0.706{col 62}{space 4} -2.35029{col 75}{space 3} 3.469774
{txt}{space 15}2004  {c |}{col 22}{res}{space 2}  1.51417{col 34}{space 2} 1.241974{col 45}{space 1}    1.22{col 54}{space 3}0.223{col 62}{space 4}-.9200533{col 75}{space 3} 3.948394
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.779031{col 34}{space 2} 1.273366{col 45}{space 1}    1.40{col 54}{space 3}0.162{col 62}{space 4}-.7167209{col 75}{space 3} 4.274783
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} 1.579151{col 34}{space 2} 1.208033{col 45}{space 1}    1.31{col 54}{space 3}0.191{col 62}{space 4} -.788551{col 75}{space 3} 3.946853
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 1.700648{col 34}{space 2} 1.199477{col 45}{space 1}    1.42{col 54}{space 3}0.156{col 62}{space 4}-.6502843{col 75}{space 3}  4.05158
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.768536{col 34}{space 2}  1.20744{col 45}{space 1}    1.46{col 54}{space 3}0.143{col 62}{space 4}-.5980027{col 75}{space 3} 4.135074
{txt}{space 15}2009  {c |}{col 22}{res}{space 2}  1.44574{col 34}{space 2} 1.259852{col 45}{space 1}    1.15{col 54}{space 3}0.251{col 62}{space 4}-1.023525{col 75}{space 3} 3.915005
{txt}{space 15}2010  {c |}{col 22}{res}{space 2}  .172278{col 34}{space 2} 1.420584{col 45}{space 1}    0.12{col 54}{space 3}0.903{col 62}{space 4}-2.612016{col 75}{space 3} 2.956572
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.540567{col 34}{space 2} 1.389782{col 45}{space 1}    1.11{col 54}{space 3}0.268{col 62}{space 4}-1.183355{col 75}{space 3}  4.26449
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.008486{col 34}{space 2} 2.799044{col 45}{space 1}   -0.36{col 54}{space 3}0.719{col 62}{space 4}-6.494512{col 75}{space 3} 4.477539
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a33
{txt}
{com}. *Model A3.4,Short-term effect of logged UNPK contributions, 6 months*
. logit mutiny_allmil l6.lntroops l12.lnnonUN l12.ln_milexsoldierconst l12.coupproofing  l12.lncgdp  l12.polity l12.durable  l12.lnpop l12.allPKOreceive l12.coupatt mutinyallpy i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-447.66846}  
Iteration 1:{space 3}log pseudolikelihood = {res:-429.77665}  
Iteration 2:{space 3}log pseudolikelihood = {res:-397.33494}  
Iteration 3:{space 3}log pseudolikelihood = {res:-396.37513}  
Iteration 4:{space 3}log pseudolikelihood = {res:-396.36915}  
Iteration 5:{space 3}log pseudolikelihood = {res:-396.36915}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     8,959
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}   2342.27
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-396.36915{txt}{col 49}Pseudo R2{col 67}= {res}    0.1146

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       mutiny_allmil{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}lntroops {c |}
{space 17}L6. {c |}{col 22}{res}{space 2}  .014164{col 34}{space 2} .0720623{col 45}{space 1}    0.20{col 54}{space 3}0.844{col 62}{space 4}-.1270755{col 75}{space 3} .1554036
{txt}{space 20} {c |}
{space 13}lnnonUN {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .1101961{col 34}{space 2} .0599634{col 45}{space 1}    1.84{col 54}{space 3}0.066{col 62}{space 4}  -.00733{col 75}{space 3} .2277222
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0447193{col 34}{space 2} .0194665{col 45}{space 1}    2.30{col 54}{space 3}0.022{col 62}{space 4} .0065656{col 75}{space 3}  .082873
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .5843285{col 34}{space 2} .2166607{col 45}{space 1}    2.70{col 54}{space 3}0.007{col 62}{space 4} .1596814{col 75}{space 3} 1.008976
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.6422158{col 34}{space 2} .2782699{col 45}{space 1}   -2.31{col 54}{space 3}0.021{col 62}{space 4}-1.187615{col 75}{space 3}-.0968169
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.0239563{col 34}{space 2} .0365067{col 45}{space 1}   -0.66{col 54}{space 3}0.512{col 62}{space 4}-.0955082{col 75}{space 3} .0475956
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.0005652{col 34}{space 2} .0134811{col 45}{space 1}   -0.04{col 54}{space 3}0.967{col 62}{space 4}-.0269876{col 75}{space 3} .0258572
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 16}L12. {c |}{col 22}{res}{space 2}-.0060191{col 34}{space 2}  .134785{col 45}{space 1}   -0.04{col 54}{space 3}0.964{col 62}{space 4}-.2701928{col 75}{space 3} .2581546
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} .0000947{col 34}{space 2} .0000459{col 45}{space 1}    2.06{col 54}{space 3}0.039{col 62}{space 4} 4.74e-06{col 75}{space 3} .0001847
{txt}{space 20} {c |}
{space 13}coupatt {c |}
{space 16}L12. {c |}{col 22}{res}{space 2} 1.164681{col 34}{space 2} .9736651{col 45}{space 1}    1.20{col 54}{space 3}0.232{col 62}{space 4}-.7436671{col 75}{space 3}  3.07303
{txt}{space 20} {c |}
{space 9}mutinyallpy {c |}{col 22}{res}{space 2}-.0119843{col 34}{space 2} .0036256{col 45}{space 1}   -3.31{col 54}{space 3}0.001{col 62}{space 4}-.0190903{col 75}{space 3}-.0048783
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.081262{col 34}{space 2} 1.001416{col 45}{space 1}    1.08{col 54}{space 3}0.280{col 62}{space 4}-.8814778{col 75}{space 3} 3.044002
{txt}{space 15}1993  {c |}{col 22}{res}{space 2}  1.68158{col 34}{space 2} 1.208465{col 45}{space 1}    1.39{col 54}{space 3}0.164{col 62}{space 4}-.6869677{col 75}{space 3} 4.050129
{txt}{space 15}1994  {c |}{col 22}{res}{space 2}  1.35102{col 34}{space 2} 1.256951{col 45}{space 1}    1.07{col 54}{space 3}0.282{col 62}{space 4}-1.112559{col 75}{space 3} 3.814599
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} .7944636{col 34}{space 2} 1.210224{col 45}{space 1}    0.66{col 54}{space 3}0.512{col 62}{space 4}-1.577533{col 75}{space 3}  3.16646
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.488636{col 34}{space 2} 1.323778{col 45}{space 1}    1.12{col 54}{space 3}0.261{col 62}{space 4}-1.105921{col 75}{space 3} 4.083193
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 1.369176{col 34}{space 2} 1.113949{col 45}{space 1}    1.23{col 54}{space 3}0.219{col 62}{space 4}-.8141237{col 75}{space 3} 3.552475
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.450326{col 34}{space 2} 1.161296{col 45}{space 1}    1.25{col 54}{space 3}0.212{col 62}{space 4}-.8257716{col 75}{space 3} 3.726424
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.107424{col 34}{space 2} 1.133146{col 45}{space 1}    1.86{col 54}{space 3}0.063{col 62}{space 4}-.1135009{col 75}{space 3} 4.328349
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.653839{col 34}{space 2} 1.161778{col 45}{space 1}    1.42{col 54}{space 3}0.155{col 62}{space 4}-.6232034{col 75}{space 3} 3.930881
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} .8884913{col 34}{space 2} 1.234203{col 45}{space 1}    0.72{col 54}{space 3}0.472{col 62}{space 4}-1.530503{col 75}{space 3} 3.307485
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} .9326171{col 34}{space 2} 1.537128{col 45}{space 1}    0.61{col 54}{space 3}0.544{col 62}{space 4}-2.080099{col 75}{space 3} 3.945333
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .4331297{col 34}{space 2} 1.488275{col 45}{space 1}    0.29{col 54}{space 3}0.771{col 62}{space 4}-2.483836{col 75}{space 3} 3.350096
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 1.356132{col 34}{space 2} 1.276403{col 45}{space 1}    1.06{col 54}{space 3}0.288{col 62}{space 4}-1.145572{col 75}{space 3} 3.857837
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.622928{col 34}{space 2} 1.275059{col 45}{space 1}    1.27{col 54}{space 3}0.203{col 62}{space 4}-.8761419{col 75}{space 3} 4.121998
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} 1.399205{col 34}{space 2} 1.211015{col 45}{space 1}    1.16{col 54}{space 3}0.248{col 62}{space 4}-.9743418{col 75}{space 3} 3.772751
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 1.459368{col 34}{space 2} 1.213085{col 45}{space 1}    1.20{col 54}{space 3}0.229{col 62}{space 4}-.9182351{col 75}{space 3} 3.836971
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.491654{col 34}{space 2}  1.26271{col 45}{space 1}    1.18{col 54}{space 3}0.237{col 62}{space 4} -.983212{col 75}{space 3} 3.966521
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 1.303174{col 34}{space 2} 1.284239{col 45}{space 1}    1.01{col 54}{space 3}0.310{col 62}{space 4}-1.213887{col 75}{space 3} 3.820236
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .0793323{col 34}{space 2} 1.404505{col 45}{space 1}    0.06{col 54}{space 3}0.955{col 62}{space 4}-2.673446{col 75}{space 3} 2.832111
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.290093{col 34}{space 2} 1.453232{col 45}{space 1}    0.89{col 54}{space 3}0.375{col 62}{space 4} -1.55819{col 75}{space 3} 4.138375
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-2.544434{col 34}{space 2} 2.434899{col 45}{space 1}   -1.04{col 54}{space 3}0.296{col 62}{space 4}-7.316748{col 75}{space 3}  2.22788
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a34
{txt}
{com}. esttab a31 a32 a33 a34  using "TabA3.rtf", mtitles("(A3.1 UN and non-UN" "(A3.2) Logged" "(A3.3) 6-month lag" "(A3.4) 6-month logged" ) drop (_cons ) obslast  order(*.troops *.lntroops  *.nonUN *.lnnonUN) stats(aic bic) se star(+ 0.10 * 0.05 ** 0.01) nocon title(Table A3: Country-month logit regression of mutiny, 1990-2011) nonumbers label  b(%10.5f) r2 nonotes addnotes("Standard errors clustered on country in parentheses." "+ p<.1 *<.05 **<.01") replace 
{res}{txt}(note: file TabA3.rtf not found)
(output written to {browse  `"TabA3.rtf"'})

{com}. 
. *APPENDIX 4, MISSION-SPECIFIC MODELS*
. *USE MISSION-SPECIFIC DATASETS*
. *UN MISSIONS*
. use "SPD_UN_missionyear.dta", clear
{txt}
{com}. tsset missioncode year
{res}{txt}{col 8}panel variable:  {res}missioncode (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1990 to 2011, but with gaps
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. *Model A4.1, add mission specific variables for PKO deaths, conflict lethality, and mission duration* 
. logit mutiny_allmil l.troop l.deaths_conflict duration mutinypy l.ln_milexsoldierconst l.coupproofing l.lncgdp  l.polity  l.lnpop if totaltroop>0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-107.39446}  
Iteration 1:{space 3}log pseudolikelihood = {res:-82.754438}  
Iteration 2:{space 3}log pseudolikelihood = {res:-65.263486}  
Iteration 3:{space 3}log pseudolikelihood = {res:-60.342052}  
Iteration 4:{space 3}log pseudolikelihood = {res:-60.021424}  
Iteration 5:{space 3}log pseudolikelihood = {res:-60.017918}  
Iteration 6:{space 3}log pseudolikelihood = {res:-60.017757}  
Iteration 7:{space 3}log pseudolikelihood = {res:-60.017757}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       787
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}     75.13
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-60.017757{txt}{col 49}Pseudo R2{col 67}= {res}    0.4411

{txt}{ralign 86:(Std. Err. adjusted for {res:35} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       mutiny_allmil{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}troop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0000571{col 34}{space 2} .0001985{col 45}{space 1}    0.29{col 54}{space 3}0.774{col 62}{space 4}-.0003319{col 75}{space 3}  .000446
{txt}{space 20} {c |}
{space 5}deaths_conflict {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0000176{col 34}{space 2}  .000068{col 45}{space 1}   -0.26{col 54}{space 3}0.795{col 62}{space 4}-.0001509{col 75}{space 3} .0001157
{txt}{space 20} {c |}
{space 12}duration {c |}{col 22}{res}{space 2} .0043597{col 34}{space 2} .0030838{col 45}{space 1}    1.41{col 54}{space 3}0.157{col 62}{space 4}-.0016845{col 75}{space 3}  .010404
{txt}{space 12}mutinypy {c |}{col 22}{res}{space 2}-.9241216{col 34}{space 2} .3759742{col 45}{space 1}   -2.46{col 54}{space 3}0.014{col 62}{space 4}-1.661017{col 75}{space 3}-.1872257
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .1989609{col 34}{space 2} .1211647{col 45}{space 1}    1.64{col 54}{space 3}0.101{col 62}{space 4}-.0385175{col 75}{space 3} .4364393
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.3010277{col 34}{space 2} .6318415{col 45}{space 1}   -0.48{col 54}{space 3}0.634{col 62}{space 4}-1.539414{col 75}{space 3}  .937359
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.1102115{col 34}{space 2} .3670126{col 45}{space 1}   -0.30{col 54}{space 3}0.764{col 62}{space 4} -.829543{col 75}{space 3}   .60912
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0382904{col 34}{space 2} .0773148{col 45}{space 1}    0.50{col 54}{space 3}0.620{col 62}{space 4}-.1132438{col 75}{space 3} .1898245
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0888357{col 34}{space 2}  .125716{col 45}{space 1}    0.71{col 54}{space 3}0.480{col 62}{space 4}-.1575632{col 75}{space 3} .3352346
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.414042{col 34}{space 2} 4.011021{col 45}{space 1}   -0.35{col 54}{space 3}0.724{col 62}{space 4}-9.275499{col 75}{space 3} 6.447415
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 51 failures and 0 successes completely determined.{p_end}

{com}. est store a41
{txt}
{com}. esttab a41 using "Tab4.1.rtf",  obslast drop (_cons  ) order() stats(aic bic) se star(+ 0.10 * 0.05) nocon title(Table A4.1: UN mission-year logit regression of mutiny, 1990-2011) nonumbers label  b(%10.5f)  nonotes addnotes("Standard errors clustered on country in parentheses." "+ p<.1 *<.05 **<.01") replace 
{res}{txt}(note: file Tab4.1.rtf not found)
(output written to {browse  `"Tab4.1.rtf"'})

{com}. 
. *NON-UN MISSIONS*
. use "SPD_nonUN_missionyear.dta", clear
{txt}
{com}. tsset missioncode year
{res}{txt}{col 8}panel variable:  {res}missioncode (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1991 to 2012, but with gaps
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. *Model A4.2, include non-UN troops and conflict variables*
. logit mutiny_allmil nonUN deaths_conflict duration mutinypy ln_milexsoldierconst coupproofing lncgdp  polity  lnpop , cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-26.807977}  
Iteration 1:{space 3}log pseudolikelihood = {res:-19.071194}  
Iteration 2:{space 3}log pseudolikelihood = {res: -14.74106}  
Iteration 3:{space 3}log pseudolikelihood = {res:-13.948984}  
Iteration 4:{space 3}log pseudolikelihood = {res:-13.624398}  
Iteration 5:{space 3}log pseudolikelihood = {res:-13.492322}  
Iteration 6:{space 3}log pseudolikelihood = {res:-13.463005}  
Iteration 7:{space 3}log pseudolikelihood = {res:-13.461331}  
Iteration 8:{space 3}log pseudolikelihood = {res:-13.461321}  
Iteration 9:{space 3}log pseudolikelihood = {res:-13.461321}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}        88
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}  30555.14
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-13.461321{txt}{col 49}Pseudo R2{col 67}= {res}    0.4979

{txt}{ralign 86:(Std. Err. adjusted for {res:15} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       mutiny_allmil{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}nonUN {c |}{col 22}{res}{space 2}-.0060058{col 34}{space 2} .0036593{col 45}{space 1}   -1.64{col 54}{space 3}0.101{col 62}{space 4}-.0131778{col 75}{space 3} .0011663
{txt}{space 5}deaths_conflict {c |}{col 22}{res}{space 2} -.001245{col 34}{space 2} .0021488{col 45}{space 1}   -0.58{col 54}{space 3}0.562{col 62}{space 4}-.0054566{col 75}{space 3} .0029666
{txt}{space 12}duration {c |}{col 22}{res}{space 2} -.378288{col 34}{space 2} .3150932{col 45}{space 1}   -1.20{col 54}{space 3}0.230{col 62}{space 4}-.9958594{col 75}{space 3} .2392834
{txt}{space 12}mutinypy {c |}{col 22}{res}{space 2} .0596579{col 34}{space 2} .1596336{col 45}{space 1}    0.37{col 54}{space 3}0.709{col 62}{space 4}-.2532183{col 75}{space 3}  .372534
{txt}ln_milexsoldierconst {c |}{col 22}{res}{space 2}-1.682801{col 34}{space 2} 1.224509{col 45}{space 1}   -1.37{col 54}{space 3}0.169{col 62}{space 4}-4.082795{col 75}{space 3} .7171924
{txt}{space 8}coupproofing {c |}{col 22}{res}{space 2} 2.360441{col 34}{space 2} 1.227404{col 45}{space 1}    1.92{col 54}{space 3}0.054{col 62}{space 4}-.0452259{col 75}{space 3} 4.766109
{txt}{space 14}lncgdp {c |}{col 22}{res}{space 2}-2.102862{col 34}{space 2} .9003533{col 45}{space 1}   -2.34{col 54}{space 3}0.020{col 62}{space 4}-3.867522{col 75}{space 3}-.3382019
{txt}{space 14}polity {c |}{col 22}{res}{space 2}-.4689781{col 34}{space 2} .1966905{col 45}{space 1}   -2.38{col 54}{space 3}0.017{col 62}{space 4}-.8544843{col 75}{space 3}-.0834719
{txt}{space 15}lnpop {c |}{col 22}{res}{space 2} .9228565{col 34}{space 2} .4804581{col 45}{space 1}    1.92{col 54}{space 3}0.055{col 62}{space 4}-.0188241{col 75}{space 3} 1.864537
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} 3.854131{col 34}{space 2} 7.734417{col 45}{space 1}    0.50{col 54}{space 3}0.618{col 62}{space 4}-11.30505{col 75}{space 3} 19.01331
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 10 failures and 0 successes completely determined.{p_end}

{com}. est store a42
{txt}
{com}. esttab a42 using "TabA4.2.rtf",  obslast drop (_cons  ) order() stats(aic bic) se star(+ 0.10 * 0.05) nocon title(Table A4.2: Non-UN mission-year logit regression of mutiny, 1990-2011) nonumbers label  b(%10.5f)  nonotes addnotes("Standard errors clustered on country in parentheses." "+ p<.1 *<.05 **<.01") replace 
{res}{txt}(note: file TabA4.2.rtf not found)
(output written to {browse  `"TabA4.2.rtf"'})

{com}. 
. *APPENDIX 5-9, USE YEARLY DATASET*
. use "SPD_countryyear.dta", clear
{txt}
{com}. *APPENDIX A5, rare events*
. *Model A5.1, Rare events logit, split UN and non-UN*
. firthlogit mutinydum troops_l nonUN_l ln_milexsoldierconst_l coupproofing_l polity_l durable_l lnpop_l lncgdp_l allPKOreceive coupattdum_l  mutinypy i.year if simult==0
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-149.82442}
rescale:{col 16}penalized log likelihood = {res:-149.82442}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-149.82442}  
Iteration 1:{space 3}penalized log likelihood = {res:-140.32635}  
Iteration 2:{space 3}penalized log likelihood = {res:-137.45825}  (not concave)
Iteration 3:{space 3}penalized log likelihood = {res:-129.64325}  (not concave)
Iteration 4:{space 3}penalized log likelihood = {res:-123.14612}  
Iteration 5:{space 3}penalized log likelihood = {res: -116.7899}  
Iteration 6:{space 3}penalized log likelihood = {res:-114.54521}  
Iteration 7:{space 3}penalized log likelihood = {res:-114.47566}  (not concave)
Iteration 8:{space 3}penalized log likelihood = {res:-114.44831}  
Iteration 9:{space 3}penalized log likelihood = {res:-114.38976}  
Iteration 10:{space 2}penalized log likelihood = {res:-114.38972}  
Iteration 11:{space 2}penalized log likelihood = {res:-114.38972}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}       744
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}     53.08
{txt}Penalized log likelihood = {res}-114.38972{txt}{col 49}Prob > chi2{col 67}= {res}    0.0081

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             mutinydum{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops_l {c |}{col 24}{res}{space 2} .0000767{col 36}{space 2} .0002775{col 47}{space 1}    0.28{col 56}{space 3}0.782{col 64}{space 4}-.0004672{col 77}{space 3} .0006207
{txt}{space 15}nonUN_l {c |}{col 24}{res}{space 2} .0002625{col 36}{space 2} .0001117{col 47}{space 1}    2.35{col 56}{space 3}0.019{col 64}{space 4} .0000435{col 77}{space 3} .0004815
{txt}ln_milexsoldierconst_l {c |}{col 24}{res}{space 2} .0465454{col 36}{space 2} .0525154{col 47}{space 1}    0.89{col 56}{space 3}0.375{col 64}{space 4} -.056383{col 77}{space 3} .1494737
{txt}{space 8}coupproofing_l {c |}{col 24}{res}{space 2} .6952222{col 36}{space 2} .2100098{col 47}{space 1}    3.31{col 56}{space 3}0.001{col 64}{space 4} .2836105{col 77}{space 3} 1.106834
{txt}{space 14}polity_l {c |}{col 24}{res}{space 2} .0019944{col 36}{space 2} .0327283{col 47}{space 1}    0.06{col 56}{space 3}0.951{col 64}{space 4} -.062152{col 77}{space 3} .0661407
{txt}{space 13}durable_l {c |}{col 24}{res}{space 2}-.0005035{col 36}{space 2} .0168116{col 47}{space 1}   -0.03{col 56}{space 3}0.976{col 64}{space 4}-.0334537{col 77}{space 3} .0324466
{txt}{space 15}lnpop_l {c |}{col 24}{res}{space 2} .0054923{col 36}{space 2}  .168085{col 47}{space 1}    0.03{col 56}{space 3}0.974{col 64}{space 4}-.3239482{col 77}{space 3} .3349328
{txt}{space 14}lncgdp_l {c |}{col 24}{res}{space 2}-.5302954{col 36}{space 2} .2191794{col 47}{space 1}   -2.42{col 56}{space 3}0.016{col 64}{space 4}-.9598792{col 77}{space 3}-.1007116
{txt}{space 9}allPKOreceive {c |}{col 24}{res}{space 2} .0000753{col 36}{space 2} .0000482{col 47}{space 1}    1.56{col 56}{space 3}0.118{col 64}{space 4}-.0000191{col 77}{space 3} .0001697
{txt}{space 10}coupattdum_l {c |}{col 24}{res}{space 2} .7387848{col 36}{space 2}  .583673{col 47}{space 1}    1.27{col 56}{space 3}0.206{col 64}{space 4}-.4051933{col 77}{space 3} 1.882763
{txt}{space 14}mutinypy {c |}{col 24}{res}{space 2}-.1094921{col 36}{space 2}  .033716{col 47}{space 1}   -3.25{col 56}{space 3}0.001{col 64}{space 4}-.1755743{col 77}{space 3}-.0434099
{txt}{space 22} {c |}
{space 18}year {c |}
{space 17}1992  {c |}{col 24}{res}{space 2}  1.39895{col 36}{space 2} 1.004017{col 47}{space 1}    1.39{col 56}{space 3}0.164{col 64}{space 4} -.568887{col 77}{space 3} 3.366788
{txt}{space 17}1993  {c |}{col 24}{res}{space 2} 1.653453{col 36}{space 2} 1.029359{col 47}{space 1}    1.61{col 56}{space 3}0.108{col 64}{space 4}-.3640534{col 77}{space 3} 3.670959
{txt}{space 17}1994  {c |}{col 24}{res}{space 2}  1.15309{col 36}{space 2} 1.053127{col 47}{space 1}    1.09{col 56}{space 3}0.274{col 64}{space 4}-.9109999{col 77}{space 3} 3.217181
{txt}{space 17}1995  {c |}{col 24}{res}{space 2} 1.123227{col 36}{space 2} 1.065266{col 47}{space 1}    1.05{col 56}{space 3}0.292{col 64}{space 4} -.964657{col 77}{space 3} 3.211111
{txt}{space 17}1996  {c |}{col 24}{res}{space 2} .8441015{col 36}{space 2} 1.119438{col 47}{space 1}    0.75{col 56}{space 3}0.451{col 64}{space 4}-1.349957{col 77}{space 3}  3.03816
{txt}{space 17}1997  {c |}{col 24}{res}{space 2} 1.653998{col 36}{space 2}  1.04873{col 47}{space 1}    1.58{col 56}{space 3}0.115{col 64}{space 4}-.4014748{col 77}{space 3}  3.70947
{txt}{space 17}1998  {c |}{col 24}{res}{space 2}  1.40584{col 36}{space 2} 1.097084{col 47}{space 1}    1.28{col 56}{space 3}0.200{col 64}{space 4}-.7444054{col 77}{space 3} 3.556086
{txt}{space 17}1999  {c |}{col 24}{res}{space 2} 2.146607{col 36}{space 2} 1.033061{col 47}{space 1}    2.08{col 56}{space 3}0.038{col 64}{space 4} .1218437{col 77}{space 3}  4.17137
{txt}{space 17}2000  {c |}{col 24}{res}{space 2} 1.400221{col 36}{space 2} 1.101011{col 47}{space 1}    1.27{col 56}{space 3}0.203{col 64}{space 4}-.7577216{col 77}{space 3} 3.558164
{txt}{space 17}2001  {c |}{col 24}{res}{space 2} 1.066209{col 36}{space 2} 1.149705{col 47}{space 1}    0.93{col 56}{space 3}0.354{col 64}{space 4} -1.18717{col 77}{space 3} 3.319589
{txt}{space 17}2002  {c |}{col 24}{res}{space 2} .5324228{col 36}{space 2} 1.267134{col 47}{space 1}    0.42{col 56}{space 3}0.674{col 64}{space 4}-1.951114{col 77}{space 3}  3.01596
{txt}{space 17}2003  {c |}{col 24}{res}{space 2} .7467048{col 36}{space 2}  1.27286{col 47}{space 1}    0.59{col 56}{space 3}0.557{col 64}{space 4}-1.748054{col 77}{space 3} 3.241464
{txt}{space 17}2004  {c |}{col 24}{res}{space 2} 1.646516{col 36}{space 2} 1.119468{col 47}{space 1}    1.47{col 56}{space 3}0.141{col 64}{space 4}-.5475998{col 77}{space 3} 3.840632
{txt}{space 17}2005  {c |}{col 24}{res}{space 2} 1.516347{col 36}{space 2}  1.11638{col 47}{space 1}    1.36{col 56}{space 3}0.174{col 64}{space 4}-.6717184{col 77}{space 3} 3.704413
{txt}{space 17}2006  {c |}{col 24}{res}{space 2} 1.694718{col 36}{space 2} 1.120057{col 47}{space 1}    1.51{col 56}{space 3}0.130{col 64}{space 4}-.5005536{col 77}{space 3} 3.889989
{txt}{space 17}2007  {c |}{col 24}{res}{space 2}  2.05378{col 36}{space 2} 1.092038{col 47}{space 1}    1.88{col 56}{space 3}0.060{col 64}{space 4}-.0865751{col 77}{space 3} 4.194135
{txt}{space 17}2008  {c |}{col 24}{res}{space 2} 1.524273{col 36}{space 2} 1.123274{col 47}{space 1}    1.36{col 56}{space 3}0.175{col 64}{space 4} -.677304{col 77}{space 3} 3.725851
{txt}{space 17}2009  {c |}{col 24}{res}{space 2} 2.036208{col 36}{space 2} 1.107966{col 47}{space 1}    1.84{col 56}{space 3}0.066{col 64}{space 4}-.1353645{col 77}{space 3} 4.207781
{txt}{space 17}2010  {c |}{col 24}{res}{space 2}   .73978{col 36}{space 2}   1.2904{col 47}{space 1}    0.57{col 56}{space 3}0.566{col 64}{space 4}-1.789357{col 77}{space 3} 3.268917
{txt}{space 17}2011  {c |}{col 24}{res}{space 2} 1.462571{col 36}{space 2} 1.184788{col 47}{space 1}    1.23{col 56}{space 3}0.217{col 64}{space 4}-.8595719{col 77}{space 3} 3.784713
{txt}{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2}-1.218656{col 36}{space 2} 2.185985{col 47}{space 1}   -0.56{col 56}{space 3}0.577{col 64}{space 4}-5.503107{col 77}{space 3} 3.065795
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a51
{txt}
{com}. esttab a51 using "TabA5.rtf", mtitles("(1) All PK") obslast drop (_cons *.year ) stats(aic bic) se star(+ 0.10 * 0.05 ** 0.01) nocon title(Table A5) nonumbers label  b(%10.5f)  nonotes addnotes("Standard errors clustered on country in parentheses." "+ p<.1 *<.05 **<.01") replace 
{res}{txt}(note: file TabA5.rtf not found)
(output written to {browse  `"TabA5.rtf"'})

{com}. 
. *APPENDIX A, coup attempt models*
. *Model A6.1, all PK contributions
. logit coupattdum l.allPKO l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive coupattpy i.year, cluster(cowcode)

{txt}note: 1996.year != 0 predicts failure perfectly
      1996.year dropped and 37 obs not used

note: 1999.year != 0 predicts failure perfectly
      1999.year dropped and 38 obs not used

note: 2005.year != 0 predicts failure perfectly
      2005.year dropped and 42 obs not used

note: 2007.year != 0 predicts failure perfectly
      2007.year dropped and 42 obs not used

note: 2009.year != 0 predicts failure perfectly
      2009.year dropped and 39 obs not used

note: 2011.year != 0 predicts failure perfectly
      2011.year dropped and 33 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-95.566675}  
Iteration 1:{space 3}log pseudolikelihood = {res:-85.645547}  
Iteration 2:{space 3}log pseudolikelihood = {res:-79.562611}  
Iteration 3:{space 3}log pseudolikelihood = {res:-79.040768}  
Iteration 4:{space 3}log pseudolikelihood = {res:-79.030479}  
Iteration 5:{space 3}log pseudolikelihood = {res:-79.030438}  
Iteration 6:{space 3}log pseudolikelihood = {res:-79.030438}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       551
{txt}{col 49}Wald chi2({res}23{txt}){col 67}= {res}    229.14
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-79.030438{txt}{col 49}Pseudo R2{col 67}= {res}    0.1730

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          coupattdum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}allPKO {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0003275{col 34}{space 2} .0004571{col 45}{space 1}   -0.72{col 54}{space 3}0.474{col 62}{space 4}-.0012234{col 75}{space 3} .0005684
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.8447237{col 34}{space 2} .5085033{col 45}{space 1}   -1.66{col 54}{space 3}0.097{col 62}{space 4}-1.841372{col 75}{space 3} .1519244
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0748892{col 34}{space 2} .3849692{col 45}{space 1}    0.19{col 54}{space 3}0.846{col 62}{space 4}-.6796365{col 75}{space 3}  .829415
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0253749{col 34}{space 2} .0592489{col 45}{space 1}    0.43{col 54}{space 3}0.668{col 62}{space 4}-.0907509{col 75}{space 3} .1415006
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0039705{col 34}{space 2} .0320865{col 45}{space 1}    0.12{col 54}{space 3}0.902{col 62}{space 4}-.0589179{col 75}{space 3}  .066859
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.1310361{col 34}{space 2} .2992691{col 45}{space 1}   -0.44{col 54}{space 3}0.661{col 62}{space 4}-.7175926{col 75}{space 3} .4555205
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.4396426{col 34}{space 2} .5404265{col 45}{space 1}   -0.81{col 54}{space 3}0.416{col 62}{space 4}-1.498859{col 75}{space 3} .6195739
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2}-.0000497{col 34}{space 2} .0000704{col 45}{space 1}   -0.71{col 54}{space 3}0.481{col 62}{space 4}-.0001878{col 75}{space 3} .0000884
{txt}{space 11}coupattpy {c |}{col 22}{res}{space 2}-.0690711{col 34}{space 2} .1024426{col 45}{space 1}   -0.67{col 54}{space 3}0.500{col 62}{space 4}-.2698549{col 75}{space 3} .1317127
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2}-.6582457{col 34}{space 2} 1.406314{col 45}{space 1}   -0.47{col 54}{space 3}0.640{col 62}{space 4}-3.414571{col 75}{space 3} 2.098079
{txt}{space 15}1993  {c |}{col 22}{res}{space 2}-1.257339{col 34}{space 2} .9051839{col 45}{space 1}   -1.39{col 54}{space 3}0.165{col 62}{space 4}-3.031467{col 75}{space 3}  .516789
{txt}{space 15}1994  {c |}{col 22}{res}{space 2}-1.614792{col 34}{space 2} 1.207269{col 45}{space 1}   -1.34{col 54}{space 3}0.181{col 62}{space 4}-3.980996{col 75}{space 3} .7514122
{txt}{space 15}1995  {c |}{col 22}{res}{space 2}-1.814409{col 34}{space 2} 1.922477{col 45}{space 1}   -0.94{col 54}{space 3}0.345{col 62}{space 4}-5.582395{col 75}{space 3} 1.953576
{txt}{space 15}1996  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}1997  {c |}{col 22}{res}{space 2} -1.81795{col 34}{space 2} 1.713789{col 45}{space 1}   -1.06{col 54}{space 3}0.289{col 62}{space 4}-5.176916{col 75}{space 3} 1.541015
{txt}{space 15}1998  {c |}{col 22}{res}{space 2}-1.770618{col 34}{space 2} 1.698108{col 45}{space 1}   -1.04{col 54}{space 3}0.297{col 62}{space 4}-5.098849{col 75}{space 3} 1.557612
{txt}{space 15}1999  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2000  {c |}{col 22}{res}{space 2}-.4313026{col 34}{space 2} 1.607883{col 45}{space 1}   -0.27{col 54}{space 3}0.789{col 62}{space 4}-3.582696{col 75}{space 3} 2.720091
{txt}{space 15}2001  {c |}{col 22}{res}{space 2}-.7635172{col 34}{space 2} 1.755415{col 45}{space 1}   -0.43{col 54}{space 3}0.664{col 62}{space 4}-4.204068{col 75}{space 3} 2.677034
{txt}{space 15}2002  {c |}{col 22}{res}{space 2}-2.189011{col 34}{space 2} 2.192327{col 45}{space 1}   -1.00{col 54}{space 3}0.318{col 62}{space 4}-6.485892{col 75}{space 3} 2.107871
{txt}{space 15}2003  {c |}{col 22}{res}{space 2}-2.060378{col 34}{space 2} 1.821946{col 45}{space 1}   -1.13{col 54}{space 3}0.258{col 62}{space 4}-5.631326{col 75}{space 3}  1.51057
{txt}{space 15}2004  {c |}{col 22}{res}{space 2}-2.012173{col 34}{space 2} 1.656416{col 45}{space 1}   -1.21{col 54}{space 3}0.224{col 62}{space 4}-5.258688{col 75}{space 3} 1.234343
{txt}{space 15}2005  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2006  {c |}{col 22}{res}{space 2}-1.880401{col 34}{space 2} 1.630297{col 45}{space 1}   -1.15{col 54}{space 3}0.249{col 62}{space 4}-5.075724{col 75}{space 3} 1.314922
{txt}{space 15}2007  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2008  {c |}{col 22}{res}{space 2}-1.582889{col 34}{space 2} 1.991111{col 45}{space 1}   -0.79{col 54}{space 3}0.427{col 62}{space 4}-5.485394{col 75}{space 3} 2.319616
{txt}{space 15}2009  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2010  {c |}{col 22}{res}{space 2}-.4291876{col 34}{space 2} 2.030252{col 45}{space 1}   -0.21{col 54}{space 3}0.833{col 62}{space 4}-4.408409{col 75}{space 3} 3.550034
{txt}{space 15}2011  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 4.403995{col 34}{space 2} 5.605932{col 45}{space 1}    0.79{col 54}{space 3}0.432{col 62}{space 4}-6.583429{col 75}{space 3} 15.39142
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 2 failures and 0 successes completely determined.{p_end}

{com}. est store a61
{txt}
{com}. *Model A6.2, distinguish UN and non-UN contribution*
. logit coupattdum l.troops l.nonUN l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive coupattpy i.year, cluster(cowcode)

{txt}note: 1996.year != 0 predicts failure perfectly
      1996.year dropped and 37 obs not used

note: 1999.year != 0 predicts failure perfectly
      1999.year dropped and 38 obs not used

note: 2005.year != 0 predicts failure perfectly
      2005.year dropped and 42 obs not used

note: 2007.year != 0 predicts failure perfectly
      2007.year dropped and 42 obs not used

note: 2009.year != 0 predicts failure perfectly
      2009.year dropped and 39 obs not used

note: 2011.year != 0 predicts failure perfectly
      2011.year dropped and 33 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-95.566675}  
Iteration 1:{space 3}log pseudolikelihood = {res:-85.623048}  
Iteration 2:{space 3}log pseudolikelihood = {res:-79.474291}  
Iteration 3:{space 3}log pseudolikelihood = {res:-78.970381}  
Iteration 4:{space 3}log pseudolikelihood = {res:-78.963595}  
Iteration 5:{space 3}log pseudolikelihood = {res:-78.963586}  
Iteration 6:{space 3}log pseudolikelihood = {res:-78.963586}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       551
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}    253.87
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-78.963586{txt}{col 49}Pseudo R2{col 67}= {res}    0.1737

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          coupattdum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0006195{col 34}{space 2} .0006282{col 45}{space 1}   -0.99{col 54}{space 3}0.324{col 62}{space 4}-.0018507{col 75}{space 3} .0006117
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0000879{col 34}{space 2} .0003792{col 45}{space 1}   -0.23{col 54}{space 3}0.817{col 62}{space 4}-.0008311{col 75}{space 3} .0006554
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.8467637{col 34}{space 2} .5031834{col 45}{space 1}   -1.68{col 54}{space 3}0.092{col 62}{space 4}-1.832985{col 75}{space 3} .1394576
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0681802{col 34}{space 2} .3840403{col 45}{space 1}    0.18{col 54}{space 3}0.859{col 62}{space 4} -.684525{col 75}{space 3} .8208853
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .025887{col 34}{space 2} .0585711{col 45}{space 1}    0.44{col 54}{space 3}0.659{col 62}{space 4}-.0889102{col 75}{space 3} .1406843
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0034756{col 34}{space 2} .0320117{col 45}{space 1}    0.11{col 54}{space 3}0.914{col 62}{space 4}-.0592662{col 75}{space 3} .0662174
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.1253229{col 34}{space 2} .2975183{col 45}{space 1}   -0.42{col 54}{space 3}0.674{col 62}{space 4}-.7084481{col 75}{space 3} .4578023
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.4285943{col 34}{space 2} .5335969{col 45}{space 1}   -0.80{col 54}{space 3}0.422{col 62}{space 4}-1.474425{col 75}{space 3} .6172364
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2}-.0000519{col 34}{space 2} .0000709{col 45}{space 1}   -0.73{col 54}{space 3}0.464{col 62}{space 4}-.0001909{col 75}{space 3}  .000087
{txt}{space 11}coupattpy {c |}{col 22}{res}{space 2}-.0673131{col 34}{space 2} .1019282{col 45}{space 1}   -0.66{col 54}{space 3}0.509{col 62}{space 4}-.2670887{col 75}{space 3} .1324626
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2}-.6733908{col 34}{space 2} 1.389249{col 45}{space 1}   -0.48{col 54}{space 3}0.628{col 62}{space 4}-3.396268{col 75}{space 3} 2.049487
{txt}{space 15}1993  {c |}{col 22}{res}{space 2}-1.278119{col 34}{space 2}  .891985{col 45}{space 1}   -1.43{col 54}{space 3}0.152{col 62}{space 4}-3.026378{col 75}{space 3}  .470139
{txt}{space 15}1994  {c |}{col 22}{res}{space 2}-1.618812{col 34}{space 2}  1.20749{col 45}{space 1}   -1.34{col 54}{space 3}0.180{col 62}{space 4}-3.985449{col 75}{space 3} .7478251
{txt}{space 15}1995  {c |}{col 22}{res}{space 2}-1.824582{col 34}{space 2} 1.916685{col 45}{space 1}   -0.95{col 54}{space 3}0.341{col 62}{space 4}-5.581216{col 75}{space 3} 1.932052
{txt}{space 15}1996  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}1997  {c |}{col 22}{res}{space 2}-1.842309{col 34}{space 2} 1.711304{col 45}{space 1}   -1.08{col 54}{space 3}0.282{col 62}{space 4}-5.196404{col 75}{space 3} 1.511786
{txt}{space 15}1998  {c |}{col 22}{res}{space 2}-1.794921{col 34}{space 2} 1.693601{col 45}{space 1}   -1.06{col 54}{space 3}0.289{col 62}{space 4}-5.114317{col 75}{space 3} 1.524476
{txt}{space 15}1999  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2000  {c |}{col 22}{res}{space 2}-.4582455{col 34}{space 2} 1.598852{col 45}{space 1}   -0.29{col 54}{space 3}0.774{col 62}{space 4}-3.591938{col 75}{space 3} 2.675447
{txt}{space 15}2001  {c |}{col 22}{res}{space 2}-.7778228{col 34}{space 2} 1.750292{col 45}{space 1}   -0.44{col 54}{space 3}0.657{col 62}{space 4}-4.208331{col 75}{space 3} 2.652686
{txt}{space 15}2002  {c |}{col 22}{res}{space 2}-2.198022{col 34}{space 2} 2.189836{col 45}{space 1}   -1.00{col 54}{space 3}0.316{col 62}{space 4}-6.490022{col 75}{space 3} 2.093977
{txt}{space 15}2003  {c |}{col 22}{res}{space 2}-2.068762{col 34}{space 2}  1.81416{col 45}{space 1}   -1.14{col 54}{space 3}0.254{col 62}{space 4} -5.62445{col 75}{space 3} 1.486926
{txt}{space 15}2004  {c |}{col 22}{res}{space 2}-2.016468{col 34}{space 2} 1.655051{col 45}{space 1}   -1.22{col 54}{space 3}0.223{col 62}{space 4}-5.260307{col 75}{space 3} 1.227372
{txt}{space 15}2005  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2006  {c |}{col 22}{res}{space 2}-1.890567{col 34}{space 2} 1.619167{col 45}{space 1}   -1.17{col 54}{space 3}0.243{col 62}{space 4}-5.064076{col 75}{space 3} 1.282941
{txt}{space 15}2007  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2008  {c |}{col 22}{res}{space 2}-1.663284{col 34}{space 2} 2.024973{col 45}{space 1}   -0.82{col 54}{space 3}0.411{col 62}{space 4}-5.632157{col 75}{space 3}  2.30559
{txt}{space 15}2009  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2010  {c |}{col 22}{res}{space 2}-.4172009{col 34}{space 2} 2.017716{col 45}{space 1}   -0.21{col 54}{space 3}0.836{col 62}{space 4}-4.371851{col 75}{space 3}  3.53745
{txt}{space 15}2011  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 4.316067{col 34}{space 2} 5.576307{col 45}{space 1}    0.77{col 54}{space 3}0.439{col 62}{space 4}-6.613293{col 75}{space 3} 15.24543
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 2 failures and 0 successes completely determined.{p_end}

{com}. est store a62
{txt}
{com}. **Model A6.3, average over 3 years of PK contributions*
. logit coupattdum l.troops3yr l.nonUN3yr l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive coupattpy i.year, cluster(cowcode)

{txt}note: 1996.year != 0 predicts failure perfectly
      1996.year dropped and 37 obs not used

note: 1999.year != 0 predicts failure perfectly
      1999.year dropped and 38 obs not used

note: 2005.year != 0 predicts failure perfectly
      2005.year dropped and 42 obs not used

note: 2007.year != 0 predicts failure perfectly
      2007.year dropped and 42 obs not used

note: 2009.year != 0 predicts failure perfectly
      2009.year dropped and 39 obs not used

note: 2011.year != 0 predicts failure perfectly
      2011.year dropped and 33 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-72.823297}  
Iteration 1:{space 3}log pseudolikelihood = {res:-66.980999}  
Iteration 2:{space 3}log pseudolikelihood = {res:-61.893876}  
Iteration 3:{space 3}log pseudolikelihood = {res:-61.742455}  
Iteration 4:{space 3}log pseudolikelihood = {res:-61.737301}  
Iteration 5:{space 3}log pseudolikelihood = {res:-61.737217}  
Iteration 6:{space 3}log pseudolikelihood = {res:-61.737217}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       462
{txt}{col 49}Wald chi2({res}21{txt}){col 67}= {res}    133.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-61.737217{txt}{col 49}Pseudo R2{col 67}= {res}    0.1522

{txt}{ralign 86:(Std. Err. adjusted for {res:45} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          coupattdum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}troops3yr {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0000519{col 34}{space 2} .0002151{col 45}{space 1}    0.24{col 54}{space 3}0.809{col 62}{space 4}-.0003697{col 75}{space 3} .0004735
{txt}{space 20} {c |}
{space 12}nonUN3yr {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0000934{col 34}{space 2} .0002216{col 45}{space 1}   -0.42{col 54}{space 3}0.673{col 62}{space 4}-.0005278{col 75}{space 3} .0003409
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.6992365{col 34}{space 2} .5141123{col 45}{space 1}   -1.36{col 54}{space 3}0.174{col 62}{space 4}-1.706878{col 75}{space 3}  .308405
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .2759757{col 34}{space 2}  .444992{col 45}{space 1}    0.62{col 54}{space 3}0.535{col 62}{space 4}-.5961927{col 75}{space 3} 1.148144
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0363095{col 34}{space 2} .0630176{col 45}{space 1}    0.58{col 54}{space 3}0.564{col 62}{space 4}-.0872027{col 75}{space 3} .1598216
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .006773{col 34}{space 2} .0416001{col 45}{space 1}    0.16{col 54}{space 3}0.871{col 62}{space 4}-.0747616{col 75}{space 3} .0883076
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.2034078{col 34}{space 2} .3758063{col 45}{space 1}   -0.54{col 54}{space 3}0.588{col 62}{space 4}-.9399747{col 75}{space 3}  .533159
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.3514468{col 34}{space 2} .6766189{col 45}{space 1}   -0.52{col 54}{space 3}0.603{col 62}{space 4}-1.677596{col 75}{space 3} .9747019
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2}-.0000242{col 34}{space 2} .0000694{col 45}{space 1}   -0.35{col 54}{space 3}0.727{col 62}{space 4}-.0001603{col 75}{space 3} .0001119
{txt}{space 11}coupattpy {c |}{col 22}{res}{space 2}-.0810603{col 34}{space 2} .1038145{col 45}{space 1}   -0.78{col 54}{space 3}0.435{col 62}{space 4}-.2845331{col 75}{space 3} .1224124
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1995  {c |}{col 22}{res}{space 2}-.1881529{col 34}{space 2} 1.553985{col 45}{space 1}   -0.12{col 54}{space 3}0.904{col 62}{space 4}-3.233908{col 75}{space 3} 2.857602
{txt}{space 15}1996  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}1997  {c |}{col 22}{res}{space 2}-.1065568{col 34}{space 2} 1.483746{col 45}{space 1}   -0.07{col 54}{space 3}0.943{col 62}{space 4}-3.014645{col 75}{space 3} 2.801532
{txt}{space 15}1998  {c |}{col 22}{res}{space 2}-.0288828{col 34}{space 2} 1.430151{col 45}{space 1}   -0.02{col 54}{space 3}0.984{col 62}{space 4}-2.831928{col 75}{space 3} 2.774162
{txt}{space 15}1999  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2000  {c |}{col 22}{res}{space 2} 1.291863{col 34}{space 2} 1.228684{col 45}{space 1}    1.05{col 54}{space 3}0.293{col 62}{space 4}-1.116314{col 75}{space 3} 3.700039
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} 1.018372{col 34}{space 2} 1.404229{col 45}{space 1}    0.73{col 54}{space 3}0.468{col 62}{space 4}-1.733867{col 75}{space 3} 3.770611
{txt}{space 15}2002  {c |}{col 22}{res}{space 2}-.3934198{col 34}{space 2} 1.769703{col 45}{space 1}   -0.22{col 54}{space 3}0.824{col 62}{space 4}-3.861974{col 75}{space 3} 3.075134
{txt}{space 15}2003  {c |}{col 22}{res}{space 2}-.2923089{col 34}{space 2} 1.655507{col 45}{space 1}   -0.18{col 54}{space 3}0.860{col 62}{space 4}-3.537043{col 75}{space 3} 2.952425
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} -.245544{col 34}{space 2} 1.421037{col 45}{space 1}   -0.17{col 54}{space 3}0.863{col 62}{space 4}-3.030725{col 75}{space 3} 2.539637
{txt}{space 15}2005  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2006  {c |}{col 22}{res}{space 2}-.1326386{col 34}{space 2} 1.749548{col 45}{space 1}   -0.08{col 54}{space 3}0.940{col 62}{space 4} -3.56169{col 75}{space 3} 3.296413
{txt}{space 15}2007  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2008  {c |}{col 22}{res}{space 2} .0546956{col 34}{space 2} 1.721034{col 45}{space 1}    0.03{col 54}{space 3}0.975{col 62}{space 4}-3.318469{col 75}{space 3}  3.42786
{txt}{space 15}2009  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2010  {c |}{col 22}{res}{space 2} 1.281422{col 34}{space 2} 1.676686{col 45}{space 1}    0.76{col 54}{space 3}0.445{col 62}{space 4}-2.004822{col 75}{space 3} 4.567666
{txt}{space 15}2011  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 2.148068{col 34}{space 2} 7.005338{col 45}{space 1}    0.31{col 54}{space 3}0.759{col 62}{space 4}-11.58214{col 75}{space 3} 15.87828
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a63
{txt}
{com}. *logged contributions*
. logit coupattdum l.lntroops l.lnnonUN l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive coupattpy i.year, cluster(cowcode)

{txt}note: 1996.year != 0 predicts failure perfectly
      1996.year dropped and 37 obs not used

note: 1999.year != 0 predicts failure perfectly
      1999.year dropped and 38 obs not used

note: 2005.year != 0 predicts failure perfectly
      2005.year dropped and 42 obs not used

note: 2007.year != 0 predicts failure perfectly
      2007.year dropped and 42 obs not used

note: 2009.year != 0 predicts failure perfectly
      2009.year dropped and 39 obs not used

note: 2011.year != 0 predicts failure perfectly
      2011.year dropped and 33 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-95.566675}  
Iteration 1:{space 3}log pseudolikelihood = {res:-85.622697}  
Iteration 2:{space 3}log pseudolikelihood = {res:-79.351793}  
Iteration 3:{space 3}log pseudolikelihood = {res:-78.853176}  
Iteration 4:{space 3}log pseudolikelihood = {res:-78.847456}  
Iteration 5:{space 3}log pseudolikelihood = {res:-78.847456}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       551
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}    260.69
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-78.847456{txt}{col 49}Pseudo R2{col 67}= {res}    0.1749

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          coupattdum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}lntroops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0643221{col 34}{space 2} .2071783{col 45}{space 1}   -0.31{col 54}{space 3}0.756{col 62}{space 4}-.4703841{col 75}{space 3}   .34174
{txt}{space 20} {c |}
{space 13}lnnonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .1179001{col 34}{space 2} .1791275{col 45}{space 1}    0.66{col 54}{space 3}0.510{col 62}{space 4}-.2331834{col 75}{space 3} .4689836
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.8631444{col 34}{space 2} .4715959{col 45}{space 1}   -1.83{col 54}{space 3}0.067{col 62}{space 4}-1.787455{col 75}{space 3} .0611667
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .086796{col 34}{space 2} .4098009{col 45}{space 1}    0.21{col 54}{space 3}0.832{col 62}{space 4} -.716399{col 75}{space 3} .8899911
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0244027{col 34}{space 2} .0586899{col 45}{space 1}    0.42{col 54}{space 3}0.678{col 62}{space 4}-.0906274{col 75}{space 3} .1394328
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0014009{col 34}{space 2} .0324617{col 45}{space 1}    0.04{col 54}{space 3}0.966{col 62}{space 4}-.0622229{col 75}{space 3} .0650248
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.1758599{col 34}{space 2} .2914881{col 45}{space 1}   -0.60{col 54}{space 3}0.546{col 62}{space 4}-.7471661{col 75}{space 3} .3954464
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.4520782{col 34}{space 2} .5392071{col 45}{space 1}   -0.84{col 54}{space 3}0.402{col 62}{space 4}-1.508905{col 75}{space 3} .6047484
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2}-.0000442{col 34}{space 2} .0000743{col 45}{space 1}   -0.59{col 54}{space 3}0.552{col 62}{space 4}-.0001898{col 75}{space 3} .0001015
{txt}{space 11}coupattpy {c |}{col 22}{res}{space 2}-.0644188{col 34}{space 2} .1083246{col 45}{space 1}   -0.59{col 54}{space 3}0.552{col 62}{space 4}-.2767311{col 75}{space 3} .1478935
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2}-.7428925{col 34}{space 2} 1.329735{col 45}{space 1}   -0.56{col 54}{space 3}0.576{col 62}{space 4}-3.349125{col 75}{space 3}  1.86334
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} -1.37798{col 34}{space 2} .7629894{col 45}{space 1}   -1.81{col 54}{space 3}0.071{col 62}{space 4}-2.873412{col 75}{space 3} .1174514
{txt}{space 15}1994  {c |}{col 22}{res}{space 2}-1.676642{col 34}{space 2} 1.197376{col 45}{space 1}   -1.40{col 54}{space 3}0.161{col 62}{space 4}-4.023456{col 75}{space 3} .6701722
{txt}{space 15}1995  {c |}{col 22}{res}{space 2}-1.886335{col 34}{space 2}  1.81047{col 45}{space 1}   -1.04{col 54}{space 3}0.297{col 62}{space 4}-5.434791{col 75}{space 3}  1.66212
{txt}{space 15}1996  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}1997  {c |}{col 22}{res}{space 2}-1.930839{col 34}{space 2} 1.733355{col 45}{space 1}   -1.11{col 54}{space 3}0.265{col 62}{space 4}-5.328152{col 75}{space 3} 1.466474
{txt}{space 15}1998  {c |}{col 22}{res}{space 2}-1.901651{col 34}{space 2} 1.752703{col 45}{space 1}   -1.08{col 54}{space 3}0.278{col 62}{space 4}-5.336887{col 75}{space 3} 1.533584
{txt}{space 15}1999  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2000  {c |}{col 22}{res}{space 2}-.5578419{col 34}{space 2} 1.606355{col 45}{space 1}   -0.35{col 54}{space 3}0.728{col 62}{space 4} -3.70624{col 75}{space 3} 2.590556
{txt}{space 15}2001  {c |}{col 22}{res}{space 2}-.8615817{col 34}{space 2} 1.750521{col 45}{space 1}   -0.49{col 54}{space 3}0.623{col 62}{space 4}-4.292539{col 75}{space 3} 2.569376
{txt}{space 15}2002  {c |}{col 22}{res}{space 2}-2.275669{col 34}{space 2}  2.16967{col 45}{space 1}   -1.05{col 54}{space 3}0.294{col 62}{space 4}-6.528143{col 75}{space 3} 1.976805
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} -2.14258{col 34}{space 2}  1.77561{col 45}{space 1}   -1.21{col 54}{space 3}0.228{col 62}{space 4}-5.622713{col 75}{space 3} 1.337552
{txt}{space 15}2004  {c |}{col 22}{res}{space 2}-2.104555{col 34}{space 2}  1.59625{col 45}{space 1}   -1.32{col 54}{space 3}0.187{col 62}{space 4}-5.233147{col 75}{space 3} 1.024037
{txt}{space 15}2005  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2006  {c |}{col 22}{res}{space 2}-1.995344{col 34}{space 2} 1.475172{col 45}{space 1}   -1.35{col 54}{space 3}0.176{col 62}{space 4}-4.886628{col 75}{space 3} .8959395
{txt}{space 15}2007  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2008  {c |}{col 22}{res}{space 2}-2.120562{col 34}{space 2} 2.323832{col 45}{space 1}   -0.91{col 54}{space 3}0.361{col 62}{space 4}-6.675189{col 75}{space 3} 2.434065
{txt}{space 15}2009  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2010  {c |}{col 22}{res}{space 2} -.549386{col 34}{space 2} 1.985551{col 45}{space 1}   -0.28{col 54}{space 3}0.782{col 62}{space 4}-4.440995{col 75}{space 3} 3.342223
{txt}{space 15}2011  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 4.942413{col 34}{space 2} 5.602132{col 45}{space 1}    0.88{col 54}{space 3}0.378{col 62}{space 4}-6.037565{col 75}{space 3} 15.92239
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 2 failures and 0 successes completely determined.{p_end}

{com}. est store a64
{txt}
{com}. esttab a61 a62 a63 a64 using "TabA6.rtf", mtitles("(1) All PK" "(2) UN and non-UN" "(3) 3 year total" "(4) Logged PK") obslast drop (_cons *.year ) order(*.allPKO *.troops *.troops3yr *.lntroops  *.nonUN *.nonUN3yr *.lnnonUN) stats(aic bic) se star(+ 0.10 * 0.05 ** 0.01) nocon title(Table A6) nonumbers label  b(%10.5f)  nonotes addnotes("Standard errors clustered on country in parentheses." "+ p<.1 *<.05 **<.01") replace 
{res}{txt}(note: file TabA6.rtf not found)
(output written to {browse  `"TabA6.rtf"'})

{com}. 
. *APPENDIX A7, ethnic loyalty* 
. logit mutinydum l.troops l.nonUN l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive l.coupattdum  mutinypy loyal i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-191.01151}  
Iteration 1:{space 3}log pseudolikelihood = {res:-168.20067}  
Iteration 2:{space 3}log pseudolikelihood = {res:-156.44863}  
Iteration 3:{space 3}log pseudolikelihood = {res:-155.50858}  
Iteration 4:{space 3}log pseudolikelihood = {res:-155.47811}  
Iteration 5:{space 3}log pseudolikelihood = {res: -155.4781}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       710
{txt}{col 49}Wald chi2({res}32{txt}){col 67}= {res}   7930.82
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -155.4781{txt}{col 49}Pseudo R2{col 67}= {res}    0.1860

{txt}{ralign 86:(Std. Err. adjusted for {res:44} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0000473{col 34}{space 2} .0001968{col 45}{space 1}    0.24{col 54}{space 3}0.810{col 62}{space 4}-.0003385{col 75}{space 3}  .000433
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0002712{col 34}{space 2} .0000559{col 45}{space 1}    4.85{col 54}{space 3}0.000{col 62}{space 4} .0001616{col 75}{space 3} .0003808
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0429978{col 34}{space 2} .0313324{col 45}{space 1}    1.37{col 54}{space 3}0.170{col 62}{space 4}-.0184126{col 75}{space 3} .1044081
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .8064715{col 34}{space 2}  .337771{col 45}{space 1}    2.39{col 54}{space 3}0.017{col 62}{space 4} .1444524{col 75}{space 3}  1.46849
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0084647{col 34}{space 2} .0440132{col 45}{space 1}   -0.19{col 54}{space 3}0.847{col 62}{space 4}-.0947291{col 75}{space 3} .0777997
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} -.000131{col 34}{space 2}   .01513{col 45}{space 1}   -0.01{col 54}{space 3}0.993{col 62}{space 4}-.0297852{col 75}{space 3} .0295233
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0406153{col 34}{space 2} .1746206{col 45}{space 1}    0.23{col 54}{space 3}0.816{col 62}{space 4}-.3016348{col 75}{space 3} .3828655
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.5616085{col 34}{space 2} .3040396{col 45}{space 1}   -1.85{col 54}{space 3}0.065{col 62}{space 4}-1.157515{col 75}{space 3} .0342982
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2} .0000787{col 34}{space 2} .0000453{col 45}{space 1}    1.74{col 54}{space 3}0.082{col 62}{space 4}-.0000101{col 75}{space 3} .0001676
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .8359072{col 34}{space 2} .8023346{col 45}{space 1}    1.04{col 54}{space 3}0.297{col 62}{space 4}-.7366398{col 75}{space 3} 2.408454
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2}-.1219618{col 34}{space 2} .0418212{col 45}{space 1}   -2.92{col 54}{space 3}0.004{col 62}{space 4}-.2039298{col 75}{space 3}-.0399938
{txt}{space 15}loyal {c |}{col 22}{res}{space 2} -.283503{col 34}{space 2} .3257817{col 45}{space 1}   -0.87{col 54}{space 3}0.384{col 62}{space 4}-.9220235{col 75}{space 3} .3550175
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.762984{col 34}{space 2}  1.07636{col 45}{space 1}    1.64{col 54}{space 3}0.101{col 62}{space 4} -.346642{col 75}{space 3}  3.87261
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 1.764243{col 34}{space 2} 1.375378{col 45}{space 1}    1.28{col 54}{space 3}0.200{col 62}{space 4}-.9314475{col 75}{space 3} 4.459934
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} 1.565222{col 34}{space 2} 1.303039{col 45}{space 1}    1.20{col 54}{space 3}0.230{col 62}{space 4} -.988687{col 75}{space 3} 4.119132
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} 1.607201{col 34}{space 2} 1.349065{col 45}{space 1}    1.19{col 54}{space 3}0.234{col 62}{space 4}-1.036918{col 75}{space 3} 4.251319
{txt}{space 15}1996  {c |}{col 22}{res}{space 2}  .425776{col 34}{space 2} 1.658976{col 45}{space 1}    0.26{col 54}{space 3}0.797{col 62}{space 4}-2.825757{col 75}{space 3} 3.677309
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 1.810495{col 34}{space 2} 1.317507{col 45}{space 1}    1.37{col 54}{space 3}0.169{col 62}{space 4}-.7717706{col 75}{space 3} 4.392761
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.878229{col 34}{space 2} 1.394773{col 45}{space 1}    1.35{col 54}{space 3}0.178{col 62}{space 4}-.8554747{col 75}{space 3} 4.611934
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.725307{col 34}{space 2}  1.36174{col 45}{space 1}    2.00{col 54}{space 3}0.045{col 62}{space 4} .0563452{col 75}{space 3} 5.394269
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.881309{col 34}{space 2} 1.390129{col 45}{space 1}    1.35{col 54}{space 3}0.176{col 62}{space 4}-.8432926{col 75}{space 3} 4.605911
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} .6982855{col 34}{space 2} 1.601524{col 45}{space 1}    0.44{col 54}{space 3}0.663{col 62}{space 4}-2.440645{col 75}{space 3} 3.837216
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} .7938128{col 34}{space 2} 1.657751{col 45}{space 1}    0.48{col 54}{space 3}0.632{col 62}{space 4}-2.455319{col 75}{space 3} 4.042945
{txt}{space 15}2003  {c |}{col 22}{res}{space 2}   1.0348{col 34}{space 2} 1.666539{col 45}{space 1}    0.62{col 54}{space 3}0.535{col 62}{space 4}-2.231557{col 75}{space 3} 4.301157
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 2.192453{col 34}{space 2} 1.456381{col 45}{space 1}    1.51{col 54}{space 3}0.132{col 62}{space 4}-.6620006{col 75}{space 3} 5.046907
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 2.003139{col 34}{space 2} 1.440109{col 45}{space 1}    1.39{col 54}{space 3}0.164{col 62}{space 4}-.8194232{col 75}{space 3}   4.8257
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} 2.222775{col 34}{space 2} 1.458087{col 45}{space 1}    1.52{col 54}{space 3}0.127{col 62}{space 4}-.6350243{col 75}{space 3} 5.080574
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 2.623039{col 34}{space 2} 1.428962{col 45}{space 1}    1.84{col 54}{space 3}0.066{col 62}{space 4}-.1776762{col 75}{space 3} 5.423753
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.976071{col 34}{space 2} 1.426382{col 45}{space 1}    1.39{col 54}{space 3}0.166{col 62}{space 4} -.819587{col 75}{space 3} 4.771729
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 2.185196{col 34}{space 2} 1.529926{col 45}{space 1}    1.43{col 54}{space 3}0.153{col 62}{space 4}-.8134038{col 75}{space 3} 5.183796
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .9297445{col 34}{space 2} 1.678471{col 45}{space 1}    0.55{col 54}{space 3}0.580{col 62}{space 4}-2.359998{col 75}{space 3} 4.219487
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.877703{col 34}{space 2} 1.611443{col 45}{space 1}    1.17{col 54}{space 3}0.244{col 62}{space 4}-1.280667{col 75}{space 3} 5.036072
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.959854{col 34}{space 2} 3.091859{col 45}{space 1}   -0.63{col 54}{space 3}0.526{col 62}{space 4}-8.019787{col 75}{space 3} 4.100079
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a71
{txt}
{com}. *Unmatched Officer Corps
. logit mutinydum l.troops l.nonUN l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive l.coupattdum  mutinypy  unmatch i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-206.13192}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181.91779}  
Iteration 2:{space 3}log pseudolikelihood = {res:-170.00221}  
Iteration 3:{space 3}log pseudolikelihood = {res:-169.21704}  
Iteration 4:{space 3}log pseudolikelihood = {res:-169.19967}  
Iteration 5:{space 3}log pseudolikelihood = {res:-169.19966}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       744
{txt}{col 49}Wald chi2({res}32{txt}){col 67}= {res}   4279.84
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-169.19966{txt}{col 49}Pseudo R2{col 67}= {res}    0.1792

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0000204{col 34}{space 2} .0002163{col 45}{space 1}   -0.09{col 54}{space 3}0.925{col 62}{space 4}-.0004444{col 75}{space 3} .0004036
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0002739{col 34}{space 2} .0000585{col 45}{space 1}    4.68{col 54}{space 3}0.000{col 62}{space 4} .0001592{col 75}{space 3} .0003885
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0439863{col 34}{space 2} .0253839{col 45}{space 1}    1.73{col 54}{space 3}0.083{col 62}{space 4}-.0057653{col 75}{space 3} .0937379
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .7614595{col 34}{space 2} .2511989{col 45}{space 1}    3.03{col 54}{space 3}0.002{col 62}{space 4} .2691187{col 75}{space 3}   1.2538
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0072464{col 34}{space 2} .0429576{col 45}{space 1}    0.17{col 54}{space 3}0.866{col 62}{space 4} -.076949{col 75}{space 3} .0914419
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0039172{col 34}{space 2} .0148526{col 45}{space 1}   -0.26{col 54}{space 3}0.792{col 62}{space 4}-.0330278{col 75}{space 3} .0251935
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .014559{col 34}{space 2} .1684347{col 45}{space 1}    0.09{col 54}{space 3}0.931{col 62}{space 4}-.3155671{col 75}{space 3}  .344685
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.5694586{col 34}{space 2} .3174934{col 45}{space 1}   -1.79{col 54}{space 3}0.073{col 62}{space 4}-1.191734{col 75}{space 3}  .052817
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2} .0000634{col 34}{space 2} .0000419{col 45}{space 1}    1.51{col 54}{space 3}0.131{col 62}{space 4}-.0000188{col 75}{space 3} .0001455
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .7681319{col 34}{space 2} .7721615{col 45}{space 1}    0.99{col 54}{space 3}0.320{col 62}{space 4}-.7452769{col 75}{space 3} 2.281541
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2}-.1120477{col 34}{space 2} .0377417{col 45}{space 1}   -2.97{col 54}{space 3}0.003{col 62}{space 4}-.1860201{col 75}{space 3}-.0380752
{txt}{space 13}unmatch {c |}{col 22}{res}{space 2}-.3978541{col 34}{space 2} .2839418{col 45}{space 1}   -1.40{col 54}{space 3}0.161{col 62}{space 4}-.9543698{col 75}{space 3} .1586617
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.712651{col 34}{space 2} 1.060128{col 45}{space 1}    1.62{col 54}{space 3}0.106{col 62}{space 4}-.3651625{col 75}{space 3} 3.790464
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 1.977445{col 34}{space 2} 1.282127{col 45}{space 1}    1.54{col 54}{space 3}0.123{col 62}{space 4}-.5354768{col 75}{space 3} 4.490367
{txt}{space 15}1994  {c |}{col 22}{res}{space 2} 1.378082{col 34}{space 2} 1.281891{col 45}{space 1}    1.08{col 54}{space 3}0.282{col 62}{space 4}-1.134377{col 75}{space 3} 3.890542
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} 1.350383{col 34}{space 2} 1.322713{col 45}{space 1}    1.02{col 54}{space 3}0.307{col 62}{space 4}-1.242087{col 75}{space 3} 3.942852
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} .9964572{col 34}{space 2} 1.419646{col 45}{space 1}    0.70{col 54}{space 3}0.483{col 62}{space 4}-1.785998{col 75}{space 3} 3.778913
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 1.939033{col 34}{space 2} 1.258984{col 45}{space 1}    1.54{col 54}{space 3}0.124{col 62}{space 4}-.5285301{col 75}{space 3} 4.406596
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.644594{col 34}{space 2} 1.377166{col 45}{space 1}    1.19{col 54}{space 3}0.232{col 62}{space 4}-1.054603{col 75}{space 3} 4.343791
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.496418{col 34}{space 2} 1.325544{col 45}{space 1}    1.88{col 54}{space 3}0.060{col 62}{space 4}-.1015996{col 75}{space 3} 5.094435
{txt}{space 15}2000  {c |}{col 22}{res}{space 2}   1.6245{col 34}{space 2} 1.353711{col 45}{space 1}    1.20{col 54}{space 3}0.230{col 62}{space 4}-1.028725{col 75}{space 3} 4.277725
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} 1.239895{col 34}{space 2} 1.406162{col 45}{space 1}    0.88{col 54}{space 3}0.378{col 62}{space 4}-1.516132{col 75}{space 3} 3.995922
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} .4823946{col 34}{space 2} 1.682307{col 45}{space 1}    0.29{col 54}{space 3}0.774{col 62}{space 4}-2.814867{col 75}{space 3} 3.779657
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .7107235{col 34}{space 2} 1.618576{col 45}{space 1}    0.44{col 54}{space 3}0.661{col 62}{space 4}-2.461627{col 75}{space 3} 3.883074
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 1.913174{col 34}{space 2} 1.409367{col 45}{space 1}    1.36{col 54}{space 3}0.175{col 62}{space 4}-.8491341{col 75}{space 3} 4.675482
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.805429{col 34}{space 2} 1.399571{col 45}{space 1}    1.29{col 54}{space 3}0.197{col 62}{space 4}-.9376793{col 75}{space 3} 4.548536
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} 1.994127{col 34}{space 2} 1.390485{col 45}{space 1}    1.43{col 54}{space 3}0.152{col 62}{space 4}-.7311737{col 75}{space 3} 4.719428
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 2.399353{col 34}{space 2} 1.369687{col 45}{space 1}    1.75{col 54}{space 3}0.080{col 62}{space 4}-.2851839{col 75}{space 3}  5.08389
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.821703{col 34}{space 2} 1.373967{col 45}{space 1}    1.33{col 54}{space 3}0.185{col 62}{space 4}-.8712222{col 75}{space 3} 4.514629
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 2.365776{col 34}{space 2} 1.421597{col 45}{space 1}    1.66{col 54}{space 3}0.096{col 62}{space 4}-.4205035{col 75}{space 3} 5.152055
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .7118003{col 34}{space 2} 1.609349{col 45}{space 1}    0.44{col 54}{space 3}0.658{col 62}{space 4}-2.442467{col 75}{space 3} 3.866067
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.678549{col 34}{space 2} 1.512271{col 45}{space 1}    1.11{col 54}{space 3}0.267{col 62}{space 4}-1.285446{col 75}{space 3} 4.642545
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.442524{col 34}{space 2} 3.031327{col 45}{space 1}   -0.48{col 54}{space 3}0.634{col 62}{space 4}-7.383817{col 75}{space 3} 4.498769
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a72
{txt}
{com}. esttab a71 a72 using "TabA7.rtf", obslast drop (_cons *.year ) stats(aic bic) se star(+ 0.10 * 0.05 ** 0.01) nocon title(Table A7) nonumbers label  b(%10.5f)  nonotes addnotes("Standard errors clustered on country in parentheses." "+ p<.1 *<.05 **<.01") replace 
{res}{txt}(note: file TabA7.rtf not found)
(output written to {browse  `"TabA7.rtf"'})

{com}. 
. *APPENDIX A8, De Bruin's measure of counterbalancing 
. logit mutinydum l.troops l.nonUN l.ln_milexsoldierconst l.cbcount l.polity l.durable l.lnpop l.lncgdp allPKOreceive l.coupattdum  mutinypy i.year if simult==0, cluster(cowcode)

{txt}note: 1991.year != 0 predicts failure perfectly
      1991.year dropped and 13 obs not used

note: 1996.year != 0 predicts failure perfectly
      1996.year dropped and 14 obs not used

note: 1998.year != 0 predicts failure perfectly
      1998.year dropped and 14 obs not used

note: 2002.year != 0 predicts failure perfectly
      2002.year dropped and 17 obs not used

note: 2007.year != 0 predicts failure perfectly
      2007.year dropped and 15 obs not used

note: 2009.year != 0 predicts failure perfectly
      2009.year dropped and 15 obs not used

note: 2011.year != 0 predicts failure perfectly
      2011.year dropped and 12 obs not used

note: 2010.year omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-65.330202}  
Iteration 1:{space 3}log pseudolikelihood = {res:-52.412498}  
Iteration 2:{space 3}log pseudolikelihood = {res:-46.689881}  
Iteration 3:{space 3}log pseudolikelihood = {res: -44.23395}  
Iteration 4:{space 3}log pseudolikelihood = {res: -43.99967}  
Iteration 5:{space 3}log pseudolikelihood = {res:-43.988182}  
Iteration 6:{space 3}log pseudolikelihood = {res:-43.988166}  
Iteration 7:{space 3}log pseudolikelihood = {res:-43.988166}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       203
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(18)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-43.988166{txt}{col 49}Pseudo R2{col 67}= {res}    0.3267

{txt}{ralign 86:(Std. Err. adjusted for {res:20} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0002534{col 34}{space 2}  .000219{col 45}{space 1}    1.16{col 54}{space 3}0.247{col 62}{space 4}-.0001757{col 75}{space 3} .0006826
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0005689{col 34}{space 2} .0001325{col 45}{space 1}    4.29{col 54}{space 3}0.000{col 62}{space 4} .0003092{col 75}{space 3} .0008287
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.1885044{col 34}{space 2} .2203621{col 45}{space 1}   -0.86{col 54}{space 3}0.392{col 62}{space 4}-.6204063{col 75}{space 3} .2433975
{txt}{space 20} {c |}
{space 13}cbcount {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .373066{col 34}{space 2} .3143346{col 45}{space 1}    1.19{col 54}{space 3}0.235{col 62}{space 4}-.2430184{col 75}{space 3} .9891505
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0413231{col 34}{space 2} .0640402{col 45}{space 1}   -0.65{col 54}{space 3}0.519{col 62}{space 4}-.1668396{col 75}{space 3} .0841934
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0501969{col 34}{space 2} .0127087{col 45}{space 1}    3.95{col 54}{space 3}0.000{col 62}{space 4} .0252882{col 75}{space 3} .0751055
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .1343299{col 34}{space 2}  .195155{col 45}{space 1}    0.69{col 54}{space 3}0.491{col 62}{space 4}-.2481668{col 75}{space 3} .5168267
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.9504621{col 34}{space 2} .4222815{col 45}{space 1}   -2.25{col 54}{space 3}0.024{col 62}{space 4}-1.778119{col 75}{space 3}-.1228055
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2} .0002174{col 34}{space 2} .0001106{col 45}{space 1}    1.97{col 54}{space 3}0.049{col 62}{space 4} 5.95e-07{col 75}{space 3} .0004343
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} 1.283338{col 34}{space 2} 1.027986{col 45}{space 1}    1.25{col 54}{space 3}0.212{col 62}{space 4}-.7314779{col 75}{space 3} 3.298154
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2}-.3189627{col 34}{space 2} .0996599{col 45}{space 1}   -3.20{col 54}{space 3}0.001{col 62}{space 4}-.5142925{col 75}{space 3} -.123633
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1991  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}1992  {c |}{col 22}{res}{space 2}-.8410908{col 34}{space 2} 1.835039{col 45}{space 1}   -0.46{col 54}{space 3}0.647{col 62}{space 4}-4.437701{col 75}{space 3} 2.755519
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} .2480357{col 34}{space 2} 1.170248{col 45}{space 1}    0.21{col 54}{space 3}0.832{col 62}{space 4}-2.045608{col 75}{space 3} 2.541679
{txt}{space 15}1994  {c |}{col 22}{res}{space 2}-1.058139{col 34}{space 2} 1.876889{col 45}{space 1}   -0.56{col 54}{space 3}0.573{col 62}{space 4}-4.736774{col 75}{space 3} 2.620497
{txt}{space 15}1995  {c |}{col 22}{res}{space 2}  .661114{col 34}{space 2} 2.196212{col 45}{space 1}    0.30{col 54}{space 3}0.763{col 62}{space 4}-3.643382{col 75}{space 3}  4.96561
{txt}{space 15}1996  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}1997  {c |}{col 22}{res}{space 2}-.0804078{col 34}{space 2}  2.34371{col 45}{space 1}   -0.03{col 54}{space 3}0.973{col 62}{space 4}-4.673996{col 75}{space 3}  4.51318
{txt}{space 15}1998  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}1999  {c |}{col 22}{res}{space 2} .4630532{col 34}{space 2} .9169699{col 45}{space 1}    0.50{col 54}{space 3}0.614{col 62}{space 4}-1.334175{col 75}{space 3} 2.260281
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.932098{col 34}{space 2} 1.340259{col 45}{space 1}    1.44{col 54}{space 3}0.149{col 62}{space 4}-.6947615{col 75}{space 3} 4.558958
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} .3326697{col 34}{space 2}  2.10661{col 45}{space 1}    0.16{col 54}{space 3}0.875{col 62}{space 4} -3.79621{col 75}{space 3} 4.461549
{txt}{space 15}2002  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2003  {c |}{col 22}{res}{space 2} 1.228944{col 34}{space 2} .9284206{col 45}{space 1}    1.32{col 54}{space 3}0.186{col 62}{space 4}-.5907267{col 75}{space 3} 3.048615
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 1.808403{col 34}{space 2} 1.998835{col 45}{space 1}    0.90{col 54}{space 3}0.366{col 62}{space 4}-2.109241{col 75}{space 3} 5.726047
{txt}{space 15}2005  {c |}{col 22}{res}{space 2}  .721371{col 34}{space 2} 1.973052{col 45}{space 1}    0.37{col 54}{space 3}0.715{col 62}{space 4} -3.14574{col 75}{space 3} 4.588482
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} .8366212{col 34}{space 2} 1.096619{col 45}{space 1}    0.76{col 54}{space 3}0.446{col 62}{space 4}-1.312713{col 75}{space 3} 2.985955
{txt}{space 15}2007  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2008  {c |}{col 22}{res}{space 2} 1.992512{col 34}{space 2} 1.668106{col 45}{space 1}    1.19{col 54}{space 3}0.232{col 62}{space 4}-1.276916{col 75}{space 3} 5.261939
{txt}{space 15}2009  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 15}2010  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 15}2011  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 2.402808{col 34}{space 2} 3.339957{col 45}{space 1}    0.72{col 54}{space 3}0.472{col 62}{space 4}-4.143388{col 75}{space 3} 8.949004
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a81
{txt}
{com}. esttab a81 using "TabA8.rtf", mtitles("(1) UN and non-UN") obslast drop (_cons *.year ) stats(aic bic) se star(+ 0.10 * 0.05 ** 0.01) nocon title(Table A8) nonumbers label  b(%10.5f)  nonotes addnotes("Standard errors clustered on country in parentheses." "+ p<.1 *<.05 **<.01") replace 
{res}{txt}(note: file TabA8.rtf not found)
(output written to {browse  `"TabA8.rtf"'})

{com}. 
. *APPENDIX 8, West Africa*
. logit mutinydum l.troops l.nonUN l.ln_milexsoldierconst l.coupproofing l.polity l.durable l.lnpop l.lncgdp allPKOreceive l.coupattdum  mutinypy wafrica i.year if simult==0, cluster(cowcode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-206.13192}  
Iteration 1:{space 3}log pseudolikelihood = {res:-181.30304}  
Iteration 2:{space 3}log pseudolikelihood = {res:-170.18528}  
Iteration 3:{space 3}log pseudolikelihood = {res:-169.45269}  
Iteration 4:{space 3}log pseudolikelihood = {res:-169.41466}  
Iteration 5:{space 3}log pseudolikelihood = {res:-169.41466}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       744
{txt}{col 49}Wald chi2({res}32{txt}){col 67}= {res}   2630.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-169.41466{txt}{col 49}Pseudo R2{col 67}= {res}    0.1781

{txt}{ralign 86:(Std. Err. adjusted for {res:46} clusters in cowcode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}           mutinydum{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}troops {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0000887{col 34}{space 2} .0002282{col 45}{space 1}   -0.39{col 54}{space 3}0.697{col 62}{space 4}-.0005361{col 75}{space 3} .0003586
{txt}{space 20} {c |}
{space 15}nonUN {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0002318{col 34}{space 2} .0000712{col 45}{space 1}    3.26{col 54}{space 3}0.001{col 62}{space 4} .0000923{col 75}{space 3} .0003713
{txt}{space 20} {c |}
ln_milexsoldierconst {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0583954{col 34}{space 2} .0292868{col 45}{space 1}    1.99{col 54}{space 3}0.046{col 62}{space 4} .0009944{col 75}{space 3} .1157965
{txt}{space 20} {c |}
{space 8}coupproofing {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .613998{col 34}{space 2} .2648827{col 45}{space 1}    2.32{col 54}{space 3}0.020{col 62}{space 4} .0948375{col 75}{space 3} 1.133159
{txt}{space 20} {c |}
{space 14}polity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0003942{col 34}{space 2} .0429838{col 45}{space 1}   -0.01{col 54}{space 3}0.993{col 62}{space 4}-.0846409{col 75}{space 3} .0838525
{txt}{space 20} {c |}
{space 13}durable {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0042975{col 34}{space 2} .0147545{col 45}{space 1}   -0.29{col 54}{space 3}0.771{col 62}{space 4}-.0332159{col 75}{space 3} .0246209
{txt}{space 20} {c |}
{space 15}lnpop {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0769342{col 34}{space 2} .1966796{col 45}{space 1}    0.39{col 54}{space 3}0.696{col 62}{space 4}-.3085508{col 75}{space 3} .4624192
{txt}{space 20} {c |}
{space 14}lncgdp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.5672607{col 34}{space 2} .3111428{col 45}{space 1}   -1.82{col 54}{space 3}0.068{col 62}{space 4}-1.177089{col 75}{space 3} .0425679
{txt}{space 20} {c |}
{space 7}allPKOreceive {c |}{col 22}{res}{space 2} .0000656{col 34}{space 2} .0000378{col 45}{space 1}    1.73{col 54}{space 3}0.083{col 62}{space 4}-8.58e-06{col 75}{space 3} .0001398
{txt}{space 20} {c |}
{space 10}coupattdum {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .7138407{col 34}{space 2} .7380129{col 45}{space 1}    0.97{col 54}{space 3}0.333{col 62}{space 4} -.732638{col 75}{space 3} 2.160319
{txt}{space 20} {c |}
{space 12}mutinypy {c |}{col 22}{res}{space 2}  -.11694{col 34}{space 2} .0406408{col 45}{space 1}   -2.88{col 54}{space 3}0.004{col 62}{space 4}-.1965946{col 75}{space 3}-.0372854
{txt}{space 13}wafrica {c |}{col 22}{res}{space 2} .3778264{col 34}{space 2} .3507166{col 45}{space 1}    1.08{col 54}{space 3}0.281{col 62}{space 4}-.3095655{col 75}{space 3} 1.065218
{txt}{space 20} {c |}
{space 16}year {c |}
{space 15}1992  {c |}{col 22}{res}{space 2} 1.748636{col 34}{space 2} 1.040959{col 45}{space 1}    1.68{col 54}{space 3}0.093{col 62}{space 4}-.2916072{col 75}{space 3} 3.788878
{txt}{space 15}1993  {c |}{col 22}{res}{space 2} 2.062049{col 34}{space 2} 1.264953{col 45}{space 1}    1.63{col 54}{space 3}0.103{col 62}{space 4}-.4172139{col 75}{space 3} 4.541312
{txt}{space 15}1994  {c |}{col 22}{res}{space 2}  1.48866{col 34}{space 2} 1.265054{col 45}{space 1}    1.18{col 54}{space 3}0.239{col 62}{space 4} -.990801{col 75}{space 3} 3.968121
{txt}{space 15}1995  {c |}{col 22}{res}{space 2} 1.456062{col 34}{space 2} 1.304711{col 45}{space 1}    1.12{col 54}{space 3}0.264{col 62}{space 4}-1.101124{col 75}{space 3} 4.013249
{txt}{space 15}1996  {c |}{col 22}{res}{space 2} 1.078472{col 34}{space 2} 1.417926{col 45}{space 1}    0.76{col 54}{space 3}0.447{col 62}{space 4}-1.700612{col 75}{space 3} 3.857555
{txt}{space 15}1997  {c |}{col 22}{res}{space 2} 2.019308{col 34}{space 2} 1.235529{col 45}{space 1}    1.63{col 54}{space 3}0.102{col 62}{space 4}-.4022842{col 75}{space 3}   4.4409
{txt}{space 15}1998  {c |}{col 22}{res}{space 2} 1.752731{col 34}{space 2} 1.335247{col 45}{space 1}    1.31{col 54}{space 3}0.189{col 62}{space 4}-.8643055{col 75}{space 3} 4.369768
{txt}{space 15}1999  {c |}{col 22}{res}{space 2} 2.567471{col 34}{space 2} 1.301654{col 45}{space 1}    1.97{col 54}{space 3}0.049{col 62}{space 4} .0162768{col 75}{space 3} 5.118666
{txt}{space 15}2000  {c |}{col 22}{res}{space 2} 1.703433{col 34}{space 2} 1.337749{col 45}{space 1}    1.27{col 54}{space 3}0.203{col 62}{space 4}-.9185072{col 75}{space 3} 4.325373
{txt}{space 15}2001  {c |}{col 22}{res}{space 2} 1.271813{col 34}{space 2} 1.417072{col 45}{space 1}    0.90{col 54}{space 3}0.369{col 62}{space 4}-1.505598{col 75}{space 3} 4.049223
{txt}{space 15}2002  {c |}{col 22}{res}{space 2} .5642648{col 34}{space 2} 1.623851{col 45}{space 1}    0.35{col 54}{space 3}0.728{col 62}{space 4}-2.618424{col 75}{space 3} 3.746954
{txt}{space 15}2003  {c |}{col 22}{res}{space 2} .7979639{col 34}{space 2} 1.606177{col 45}{space 1}    0.50{col 54}{space 3}0.619{col 62}{space 4}-2.350086{col 75}{space 3} 3.946013
{txt}{space 15}2004  {c |}{col 22}{res}{space 2} 1.982161{col 34}{space 2} 1.387082{col 45}{space 1}    1.43{col 54}{space 3}0.153{col 62}{space 4}-.7364694{col 75}{space 3} 4.700792
{txt}{space 15}2005  {c |}{col 22}{res}{space 2} 1.884527{col 34}{space 2} 1.376925{col 45}{space 1}    1.37{col 54}{space 3}0.171{col 62}{space 4}-.8141971{col 75}{space 3} 4.583251
{txt}{space 15}2006  {c |}{col 22}{res}{space 2} 2.065726{col 34}{space 2} 1.379949{col 45}{space 1}    1.50{col 54}{space 3}0.134{col 62}{space 4}-.6389253{col 75}{space 3} 4.770377
{txt}{space 15}2007  {c |}{col 22}{res}{space 2} 2.469261{col 34}{space 2} 1.338532{col 45}{space 1}    1.84{col 54}{space 3}0.065{col 62}{space 4}-.1542132{col 75}{space 3} 5.092735
{txt}{space 15}2008  {c |}{col 22}{res}{space 2} 1.889966{col 34}{space 2} 1.356623{col 45}{space 1}    1.39{col 54}{space 3}0.164{col 62}{space 4}-.7689665{col 75}{space 3} 4.548899
{txt}{space 15}2009  {c |}{col 22}{res}{space 2} 2.467462{col 34}{space 2} 1.412831{col 45}{space 1}    1.75{col 54}{space 3}0.081{col 62}{space 4}-.3016363{col 75}{space 3} 5.236561
{txt}{space 15}2010  {c |}{col 22}{res}{space 2} .8052789{col 34}{space 2} 1.600083{col 45}{space 1}    0.50{col 54}{space 3}0.615{col 62}{space 4}-2.330827{col 75}{space 3} 3.941385
{txt}{space 15}2011  {c |}{col 22}{res}{space 2} 1.780311{col 34}{space 2} 1.509084{col 45}{space 1}    1.18{col 54}{space 3}0.238{col 62}{space 4} -1.17744{col 75}{space 3} 4.738062
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-2.138261{col 34}{space 2} 3.249891{col 45}{space 1}   -0.66{col 54}{space 3}0.511{col 62}{space 4}-8.507931{col 75}{space 3} 4.231409
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store a91
{txt}
{com}. esttab a91 using "TabA9.rtf", mtitles("(1) UN and non-UN") obslast drop (_cons *.year )  stats(aic bic) se star(+ 0.10 * 0.05 ** .01) nocon title(Table 1: Country-year logit regression of mutiny, 1990-2011) nonumbers label  b(%10.5f)  nonotes addnotes("Standard errors clustered on country in parentheses." "+ p<.1 *<.05 **<.01") replace 
{res}{txt}(note: file TabA9.rtf not found)
(output written to {browse  `"TabA9.rtf"'})

{com}. 
{txt}end of do-file

{com}. 